Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition | Paper Citation Record

Observation 968f2eaf-86bb-4419-92be-9e0594aa184d · outbound

This paper cites Adaptive virtual assistant interaction through real-time speech emotion analysis using hybrid deep learning models and contextual awareness.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Adaptive virtual assistant interaction through real-time speech emotion analysis using hybrid deep learning models and contextual awareness

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.066207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bd8114d6-46e2-4602-9461-d8f250d7d107 · outbound

This paper cites Real-time speech emotion analysis for smart home assistants.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Real-time speech emotion analysis for smart home assistants

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.061054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 983bafcb-ea7f-426f-aabf-2fafa60d3384 · outbound

This paper cites Enabling intelligent environment by the design of emotionally aware virtual assistant: A case of smart campus.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Enabling intelligent environment by the design of emotionally aware virtual assistant: A case of smart campus

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.058750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1abf6996-76fd-4683-b4e1-266bb66deba4 · outbound

This paper cites Multilayer neural network based speech emotion recognition for smart assistance.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Multilayer neural network based speech emotion recognition for smart assistance

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.056165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7ce1ee30-9f27-416b-903b-ce469827b1ec · outbound

This paper cites Speech emotion recognition using supervised deep recurrent system for mental health monitoring.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Speech emotion recognition using supervised deep recurrent system for mental health monitoring

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.050798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1b9c282b-1973-40ab-99d1-4190196899e9 · outbound

This paper cites Automatic speech emotion recognition using machine learning: digital transformation of mental health.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Automatic speech emotion recognition using machine learning: digital transformation of mental health

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.047961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 95479e18-0fd4-4012-b244-99fc31a19311 · outbound

This paper cites Depression severity classification from speech emotion.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Depression severity classification from speech emotion

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.044945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0d7d103f-83e6-48f3-82cd-2b0038bde838 · outbound

This paper cites Speech emotion recognition for power customer service.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Speech emotion recognition for power customer service

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.042015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 922fb80b-85e2-40ad-99c8-5ec7619c0a2d · outbound

This paper cites Ordinal learning for emotion recognition in customer service calls.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Ordinal learning for emotion recognition in customer service calls

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.053391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ccdccf42-f9d6-4a2d-a4d9-d545d77aba0b · outbound

This paper cites End-to-end continuous speech emotion recog- nition in real-life customer service call center conversations.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition End-to-end continuous speech emotion recog- nition in real-life customer service call center conversations

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.071608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f76462f8-9290-436b-b72c-a074ebfbc657 · outbound

This paper cites Front-end feature compensation and denoising for noise robust speech emotion recognition.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Front-end feature compensation and denoising for noise robust speech emotion recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.068814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3c966493-ebdb-46c9-b0ab-d5582ab5ad2c · outbound

This paper cites Emotion recognition in the noise applying large acoustic feature sets.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Emotion recognition in the noise applying large acoustic feature sets

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.063374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 22a130b7-3990-44e9-aeb4-d2156d7d3552 · outbound

This paper cites Not all features are equal: Selection of robust features for speech emotion recognition in noisy environments.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Not all features are equal: Selection of robust features for speech emotion recognition in noisy environments

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.074562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 370f353c-9368-45d0-b736-a8b826dc44c1 · outbound

This paper cites Metricaug: A distortion metric-lead augmen- tation strategy for training noise-robust speech emotion recognizer.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Metricaug: A distortion metric-lead augmen- tation strategy for training noise-robust speech emotion recognizer

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.120977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 31b52eed-be17-4c28-a523-63ed7a307f51 · outbound

This paper cites Best Practices for Noise-Based Augmentation to Improve the Performance of Deployable Speech-Based Emotion Recognition Systems.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Best Practices for Noise-Based Augmentation to Improve the Performance of Deployable Speech-Based Emotion Recognition Systems

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:11:42.923961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2d99b63a-253b-4abc-976e-58cbaa1a104d · outbound

This paper cites Reinforcement learning based data augmentation for noise robust speech emotion recognition.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Reinforcement learning based data augmentation for noise robust speech emotion recognition

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.118023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dcb37d9f-c029-432b-8486-4038483a28b6 · outbound

This paper cites Multi-conditioning and data augmentation using generative noise model for speech emotion recognition in noisy conditions.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Multi-conditioning and data augmentation using generative noise model for speech emotion recognition in noisy conditions

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.115139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5852c649-7254-4fb6-9a3d-5259216fb7cb · outbound

This paper cites Com- putation and memory efficient noise adaptation of Wav2Vec2.0 for noisy speech emotion recognition with skip connection adapters.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Com- putation and memory efficient noise adaptation of Wav2Vec2.0 for noisy speech emotion recognition with skip connection adapters

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.111981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6e21ea88-c031-4136-bb74-22c770fe6a86 · outbound

This paper cites Describe where you are: Improving noise-robustness for speech emotion recognition with text description of the environment.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Describe where you are: Improving noise-robustness for speech emotion recognition with text description of the environment

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:11:42.933195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 755e7124-303b-454e-baa9-54b520caf8b7 · outbound

This paper cites Towards noise robust speech emotion recog- nition using dynamic layer customization.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Towards noise robust speech emotion recog- nition using dynamic layer customization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.108775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5d6ef8d5-e315-436d-aecc-7dbc4888f820 · outbound

This paper cites Separation of emotional and reconstruction embeddings on ladder network to improve speech emotion recognition robustness in noisy conditions.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Separation of emotional and reconstruction embeddings on ladder network to improve speech emotion recognition robustness in noisy conditions

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.104961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 32377f04-01c5-4fb1-bddd-d0614b598c24 · outbound

This paper cites Adapting a self-supervised speech representation for noisy speech emotion recognition by using contrastive teacher-student learning.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Adapting a self-supervised speech representation for noisy speech emotion recognition by using contrastive teacher-student learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.101752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 097f9fc4-b8f3-4ce5-b905-4f9093908a7e · outbound

This paper cites End-to-end speech emotion recognition: Challenges of real-life emergency call centers data recordings.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition End-to-end speech emotion recognition: Challenges of real-life emergency call centers data recordings

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.098857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d59e1787-0cdf-4e07-b11f-0c0a4d2aa743 · outbound

This paper cites Enhancing emergency response through speech emotion recognition: A machine learning approach.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Enhancing emergency response through speech emotion recognition: A machine learning approach

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.095705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4e8d1af0-9c34-4c9c-b359-f49343ca91df · outbound

This paper cites Investigating trans- former encoders and fusion strategies for speech emotion recognition in emergency call center conversations.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Investigating trans- former encoders and fusion strategies for speech emotion recognition in emergency call center conversations

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.092547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9b03a06e-19f1-4e4b-8d5b-382768b5cfdc · outbound

This paper cites Towards robust speech emotion recognition using deep resid- ual networks for speech enhancement.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Towards robust speech emotion recognition using deep resid- ual networks for speech enhancement

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.086289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2569233e-90a6-46ae-bca9-310ecf232444 · outbound

This paper cites Task-specific speech enhancement and data augmentation for improved multimodal emotion recognition under noisy conditions.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Task-specific speech enhancement and data augmentation for improved multimodal emotion recognition under noisy conditions

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.083039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 50a4916a-805d-4845-973f-0c89be4b9b01 · outbound

This paper cites Noise robust speech emotion recognition with signal-to-noise ratio adapting speech enhancement.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Noise robust speech emotion recognition with signal-to-noise ratio adapting speech enhancement

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:11:42.895985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d8b2678e-efd6-42c0-9e8a-56e05ae81ff9 · outbound

This paper cites Investigating speech enhancement and perceptual quality for speech emotion recog- nition.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Investigating speech enhancement and perceptual quality for speech emotion recog- nition

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.079389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6d458e9d-25bc-4a28-a631-b1994066793d · outbound

This paper cites Noise-robust speech emotion recognition using shared self-supervised representations with integrated speech enhancement.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Noise-robust speech emotion recognition using shared self-supervised representations with integrated speech enhancement

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.075942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 78513609-3793-46d0-97b7-fac9b6c59924 · outbound

This paper cites Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.072804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b6ded5be-c5e9-419f-aad0-e85d36a2b5c3 · outbound

This paper cites Gra- dient surgery for multi-task learning.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Gra- dient surgery for multi-task learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.069595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e641dc9f-84ed-49bf-b1b2-5b7067dfd319 · outbound

This paper cites Modeling task relationships in multi-task learning with multi-gate mixture-of-experts.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Modeling task relationships in multi-task learning with multi-gate mixture-of-experts

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.066645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2063838f-74cf-45d8-a8ef-2689a8a6d6ff · outbound

This paper cites Building Naturalistic Emotionally Balanced Speech Corpus by Retrieving Emotional Speech From Existing Podcast Recordings.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Building Naturalistic Emotionally Balanced Speech Corpus by Retrieving Emotional Speech From Existing Podcast Recordings

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.063654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 64a50563-27cc-4641-b56c-f066d5dcbec6 · outbound

This paper cites Odyssey 2024 - speech emotion recognition challenge: Dataset, baseline framework, and results.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Odyssey 2024 - speech emotion recognition challenge: Dataset, baseline framework, and results

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.060397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f3d24484-a8bd-42f7-be34-e3f8184ed6ec · outbound

This paper cites Selective acoustic feature enhancement for speech emotion recognition with noisy speech.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Selective acoustic feature enhancement for speech emotion recognition with noisy speech

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.057270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9bc205f6-3ef7-4d83-b32f-a23ee77b718d · outbound

This paper cites Robust front-end processing for emotion recognition in noisy speech.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Robust front-end processing for emotion recognition in noisy speech

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.054092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation aff19d53-7d39-4095-a6a0-96fed41fa55a · outbound

This paper cites An unsupervised frame selection technique for robust emotion recognition in noisy speech.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition An unsupervised frame selection technique for robust emotion recognition in noisy speech

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.123822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a0741320-4361-440d-95d7-af820bf39628 · outbound

This paper cites Keep, delete, or substitute: Frame selection strategy for noise-robust speech emotion recognition.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Keep, delete, or substitute: Frame selection strategy for noise-robust speech emotion recognition

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:46.962155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 850ae2c6-81c7-40c7-bdeb-9f41d29340c3 · outbound

This paper cites From neural pca to deep unsupervised learning.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition From neural pca to deep unsupervised learning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:46.990015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fb6b72cb-291f-42f8-9e89-592d358a81b5 · outbound

This paper cites Semi-supervised speech emotion recog- nition with ladder networks.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Semi-supervised speech emotion recog- nition with ladder networks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.023698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d2231539-a6b6-4bb7-abdb-361444a8024b · outbound

This paper cites Domain separation networks.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Domain separation networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.005608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ed63388c-1d8b-485d-8904-ada5f7315f21 · outbound

This paper cites Available: https://proceedings.neurips.cc/paper files/ paper/2016/file/45fbc6d3e05ebd93369ce542e8f2322d-Paper.pdf.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Available: https://proceedings.neurips.cc/paper files/ paper/2016/file/45fbc6d3e05ebd93369ce542e8f2322d-Paper.pdf

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.047746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1a8a72f8-f31b-4085-9a9e-6dd06c8247ec · outbound

This paper cites Spectral feature mapping with mimic loss for robust speech recognition.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Spectral feature mapping with mimic loss for robust speech recognition

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.032399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 48be5463-bf78-4169-afe0-cab81771cf14 · outbound

This paper cites Capturing long-term temporal dependencies with convolutional JOURNAL OF LATEX CLASS FILES.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Capturing long-term temporal dependencies with convolutional JOURNAL OF LATEX CLASS FILES

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.038535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e6f9174b-0107-4010-abf2-65acfe0c2735 · outbound

This paper cites Versa- tile audio-visual learning for emotion recognition.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Versa- tile audio-visual learning for emotion recognition

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.035139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 19aea5bd-e845-4ea4-a8a0-58e59fc2a3c8 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition wav2vec 2.0: A framework for self-supervised learning of speech representations

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.017644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1bc95bb3-1ed9-40c5-8ff5-4486610ed2c1 · outbound

This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Hubert: Self-supervised speech representation learning by masked prediction of hidden units

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.022244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d39cd630-fe9a-4c45-80f3-7b682c7d13fc · outbound

This paper cites Wavlm: Large-scale self-supervised pre- training for full stack speech processing.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Wavlm: Large-scale self-supervised pre- training for full stack speech processing

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.044800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a697c031-e64b-4621-b4ed-b4c604146834 · outbound

This paper cites SUPERB: Speech processing Universal PERformance Benchmark.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition SUPERB: Speech processing Universal PERformance Benchmark

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T18:11:42.900862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3d353bae-26c2-4177-8a52-d3a67335a749 · outbound

This paper cites SUPERB-SG: Enhanced speech processing universal PERformance benchmark for semantic and generative capabilities.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition SUPERB-SG: Enhanced speech processing universal PERformance benchmark for semantic and generative capabilities

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.051095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a9948a2c-6dcf-40d5-afa6-c26d157c0ab9 · outbound

This paper cites Boosting self-supervised embeddings for speech enhancement.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Boosting self-supervised embeddings for speech enhancement

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.041785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dc20d747-0f0a-4bf5-bd63-a3da43a0a23a · outbound

This paper cites Exploring wavlm on speech enhancement.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Exploring wavlm on speech enhancement

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.038756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 27d854cb-24c1-44c0-aafe-1a7749c392d7 · outbound

This paper cites Speech enhancement using self- supervised pre-trained model and vector quantization.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Speech enhancement using self- supervised pre-trained model and vector quantization

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.026467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1e3e4584-8631-45dc-bd6b-8fad767f7957 · outbound

This paper cites A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:11:42.905106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c1c74f9a-6b56-4579-8999-0ed0a76d1799 · outbound

This paper cites Evaluating self-supervised speech repre- sentations for speech emotion recognition.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Evaluating self-supervised speech repre- sentations for speech emotion recognition

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.089507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 75ab2082-fc4d-405c-8dfc-345bbedd81e4 · outbound

This paper cites The Interspeech 2025 challenge on speech emotion recog- nition in naturalistic conditions.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition The Interspeech 2025 challenge on speech emotion recog- nition in naturalistic conditions

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.030703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 591b3a78-129a-49f3-8ff4-088a121f1115 · outbound

This paper cites Multi-task Sequence to Sequence Learning.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Multi-task Sequence to Sequence Learning

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-05-18T18:11:42.909480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5433896a-935c-4b9d-bacb-51cd6b0e4992 · outbound

This paper cites One Model To Learn Them All.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition One Model To Learn Them All

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-05-18T18:11:42.927997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fa531c20-80b9-4256-8841-104f6e31ded8 · outbound

This paper cites Multi-task learning using uncer- tainty to weigh losses for scene geometry and semantics.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Multi-task learning using uncer- tainty to weigh losses for scene geometry and semantics

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.008640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e7811c61-a20d-4bbc-b274-464d4a9f3f10 · outbound

This paper cites Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T18:11:42.943471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f57cc905-d4e5-4880-bbe9-a6443c09d996 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:46.999680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 39b9fbbc-bc6d-4ecd-bd22-e2be10938a03 · outbound

This paper cites Mixtral of Experts.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Mixtral of Experts

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-05-18T18:11:42.891629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2095a126-c9e3-4657-8ba8-dd0ae68f2382 · outbound

This paper cites Qwen3 Technical Report.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Qwen3 Technical Report

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-05-18T18:11:42.914147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 49b32749-8ee2-4538-b980-47f77ca29085 · outbound

This paper cites LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T18:11:42.887285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2a7dfc01-0e6a-4ca9-9ca4-785f1e769d33 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-05-18T18:11:42.919002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation edbba3b4-48f2-40fa-b0f5-c80db58927d8 · outbound

This paper cites M 3vit: Mixture-of-experts vision transformer for effi- cient multi-task learning with model-accelerator co-design.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition M 3vit: Mixture-of-experts vision transformer for effi- cient multi-task learning with model-accelerator co-design

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.126760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e7531a26-d10b-4f33-9052-ff6de19da816 · outbound

This paper cites Speechmoe: Scaling to large acoustic models with dynamic routing mixture of experts.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Speechmoe: Scaling to large acoustic models with dynamic routing mixture of experts

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.033578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 082b8412-2658-4692-87c3-b099c80bf8bc · outbound

This paper cites Speechmoe2: Mixture-of-experts model with improved routing.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Speechmoe2: Mixture-of-experts model with improved routing

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:46.983639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9eacf349-c73a-4994-85e1-b96f62f2099f · outbound

This paper cites Language-routing mixture of experts for multilingual and code-switching speech recognition.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Language-routing mixture of experts for multilingual and code-switching speech recognition

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:46.986921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9b194510-2df0-40c4-b1cb-c89a035db577 · outbound

This paper cites Mixture-of-expert conformer for streaming multilingual asr.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Mixture-of-expert conformer for streaming multilingual asr

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:46.996596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7e0fbd40-f912-4b73-ab5d-6d201f5ff4d0 · outbound

This paper cites Attentive statistics pooling for deep speaker embedding.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Attentive statistics pooling for deep speaker embedding

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.002894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7afc4812-114f-47c9-acfe-61bc2e3e451f · outbound

This paper cites Boosting objective scores of a speech enhancement model by metricgan post-processing.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Boosting objective scores of a speech enhancement model by metricgan post-processing

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:46.976047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7f5cb555-12f4-450a-a546-4541b6932800 · outbound

This paper cites Gating Neural Network for Large V ocabulary Audiovisual Speech Recognition.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Gating Neural Network for Large V ocabulary Audiovisual Speech Recognition

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:46.968485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d3104929-53d9-480c-b40c-ed937f4338c5 · outbound

This paper cites Freesound datasets: a platform for the creation of open audio datasets.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Freesound datasets: a platform for the creation of open audio datasets

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.011414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 221de578-63bd-4adf-be73-0f37f763b8e1 · outbound

This paper cites Icassp 2023 deep noise suppression challenge.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Icassp 2023 deep noise suppression challenge

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:47.019347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1c27f225-3d57-4d33-9e9f-d396ff5e729f · outbound

This paper cites Investi- gating RNN-based speech enhancement methods for noise-robust Text- to-Speech.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Investi- gating RNN-based speech enhancement methods for noise-robust Text- to-Speech

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:46.969557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 57db2ad5-b386-4334-bbc9-74599c88454c · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 78

Resolution: verified exact; local_arxiv, observed 2026-05-18T18:11:42.938020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1871874c-6f9f-4a0b-b458-851a766b8823 · outbound

This paper cites Mod-squad: Designing mixtures of experts as modular multi-task learners.

Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Mod-squad: Designing mixtures of experts as modular multi-task learners

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:12:46.993539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers