ETTA: Elucidating the Design Space of Text-to-Audio Models | Paper Citation Record

Observation 38a0f702-0c4e-4914-b2e9-c39311c56b32 · outbound

This paper cites write newline.

ETTA: Elucidating the Design Space of Text-to-Audio Models write newline

Reference 1

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Observation 0e949966-c858-4c17-bdc1-99c277bce3f6 · outbound

This paper cites MusicLM: Generating Music From Text.

ETTA: Elucidating the Design Space of Text-to-Audio Models MusicLM: Generating Music From Text

Reference 2

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Observation 6bf6b427-dfef-4d06-bac4-0ccc9c0c2280 · outbound

This paper cites Improving image generation with better captions.

ETTA: Elucidating the Design Space of Text-to-Audio Models Improving image generation with better captions

Reference 3

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Observation 79dc3aeb-1cd7-4c70-99b8-612df2b5bbb8 · outbound

This paper cites Audiolm: a language modeling approach to audio generation.

ETTA: Elucidating the Design Space of Text-to-Audio Models Audiolm: a language modeling approach to audio generation

Reference 4

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Observation b26f449e-3485-4050-89b5-d163165cd51c · outbound

This paper cites Vggsound: A large-scale audio-visual dataset.

ETTA: Elucidating the Design Space of Text-to-Audio Models Vggsound: A large-scale audio-visual dataset

Reference 5

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This paper cites Scaling instruction-finetuned language models.

ETTA: Elucidating the Design Space of Text-to-Audio Models Scaling instruction-finetuned language models

Reference 6

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This paper cites Simple and controllable music generation.

ETTA: Elucidating the Design Space of Text-to-Audio Models Simple and controllable music generation

Reference 7

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This paper cites Look, listen, and learn more: Design choices for deep audio embeddings.

ETTA: Elucidating the Design Space of Text-to-Audio Models Look, listen, and learn more: Design choices for deep audio embeddings

Reference 8

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Observation 176eb31a-d2b6-43b9-8be9-8694f0afd531 · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.

ETTA: Elucidating the Design Space of Text-to-Audio Models Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 9

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Observation 31aeb629-08cb-44a1-b4f6-94cf929500b3 · outbound

This paper cites High fidelity neural audio compression.

ETTA: Elucidating the Design Space of Text-to-Audio Models High fidelity neural audio compression

Reference 10

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Observation 9ea64442-a818-405c-a818-802cd5450134 · outbound

This paper cites Diffusion models beat gans on image synthesis.

ETTA: Elucidating the Design Space of Text-to-Audio Models Diffusion models beat gans on image synthesis

Reference 11

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Observation e0fe67b9-e09e-4f8e-bbc3-5ba7e3f01ba1 · outbound

This paper cites Natural Language Supervision for General-Purpose Audio Representations.

ETTA: Elucidating the Design Space of Text-to-Audio Models Natural Language Supervision for General-Purpose Audio Representations

Reference 12

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This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

ETTA: Elucidating the Design Space of Text-to-Audio Models Scaling rectified flow transformers for high-resolution image synthesis

Reference 13

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Observation e68c8769-783a-4b13-888c-6a9d48d3cb7d · outbound

This paper cites Fast timing-conditioned latent audio diffusion.

ETTA: Elucidating the Design Space of Text-to-Audio Models Fast timing-conditioned latent audio diffusion

Reference 14

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Observation b4cf4c1b-afda-4ac7-bf37-dbac0f24533b · outbound

This paper cites Long-form music generation with latent diffusion.

ETTA: Elucidating the Design Space of Text-to-Audio Models Long-form music generation with latent diffusion

Reference 15

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Observation 1bdeabe8-3bd5-4d4d-8216-902399c5c10b · outbound

This paper cites Stable Audio Open.

ETTA: Elucidating the Design Space of Text-to-Audio Models Stable Audio Open

Reference 16

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Observation f7b5a11b-d485-4276-bed9-a1fd84d7200e · outbound

This paper cites FLUX that Plays Music.

ETTA: Elucidating the Design Space of Text-to-Audio Models FLUX that Plays Music

Reference 17

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This paper cites Audio set: An ontology and human-labeled dataset for audio events.

ETTA: Elucidating the Design Space of Text-to-Audio Models Audio set: An ontology and human-labeled dataset for audio events

Reference 18

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This paper cites Text-to-audio generation using instruction guided latent diffusion model.

ETTA: Elucidating the Design Space of Text-to-Audio Models Text-to-audio generation using instruction guided latent diffusion model

Reference 19

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Observation 19c8c6b2-6272-46a0-9a48-d7cf7a87aa43 · outbound

This paper cites EzAudio: Enhancing Text-to-Audio Generation with Efficient Diffusion Transformer.

ETTA: Elucidating the Design Space of Text-to-Audio Models EzAudio: Enhancing Text-to-Audio Generation with Efficient Diffusion Transformer

Reference 20

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This paper cites Taming Data and Transformers for Audio Generation.

ETTA: Elucidating the Design Space of Text-to-Audio Models Taming Data and Transformers for Audio Generation

Reference 21

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This paper cites Efficient diffusion training via min-snr weighting strategy.

ETTA: Elucidating the Design Space of Text-to-Audio Models Efficient diffusion training via min-snr weighting strategy

Reference 22

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Observation ccebd0fd-8948-4f10-be94-e676e7ef8baf · outbound

This paper cites Gaussian Error Linear Units (GELUs).

ETTA: Elucidating the Design Space of Text-to-Audio Models Gaussian Error Linear Units (GELUs)

Reference 23

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Observation b5f71e10-a9c7-467a-95ff-7ac8edaac624 · outbound

This paper cites Classifier-Free Diffusion Guidance.

ETTA: Elucidating the Design Space of Text-to-Audio Models Classifier-Free Diffusion Guidance

Reference 24

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This paper cites Denoising diffusion probabilistic models.

ETTA: Elucidating the Design Space of Text-to-Audio Models Denoising diffusion probabilistic models

Reference 25

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This paper cites Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generation.

ETTA: Elucidating the Design Space of Text-to-Audio Models Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generation

Reference 26

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This paper cites Noise2Music: Text-conditioned Music Generation with Diffusion Models.

ETTA: Elucidating the Design Space of Text-to-Audio Models Noise2Music: Text-conditioned Music Generation with Diffusion Models

Reference 27

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This paper cites Make-an-audio: Text-to-audio generation with prompt-enhanced diffusion models.

ETTA: Elucidating the Design Space of Text-to-Audio Models Make-an-audio: Text-to-audio generation with prompt-enhanced diffusion models

Reference 28

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This paper cites Elucidating the design space of diffusion-based generative models.

ETTA: Elucidating the Design Space of Text-to-Audio Models Elucidating the design space of diffusion-based generative models

Reference 29

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This paper cites Guiding a Diffusion Model with a Bad Version of Itself.

ETTA: Elucidating the Design Space of Text-to-Audio Models Guiding a Diffusion Model with a Bad Version of Itself

Reference 30

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Observation c41df97c-8c19-483b-b8f6-bf7d50b0b82f · outbound

This paper cites Fr\'echet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms.

ETTA: Elucidating the Design Space of Text-to-Audio Models Fr\'echet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms

Reference 31

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This paper cites Audiocaps: Generating captions for audios in the wild.

ETTA: Elucidating the Design Space of Text-to-Audio Models Audiocaps: Generating captions for audios in the wild

Reference 32

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This paper cites Enclap: Combining neural audio codec and audio-text joint embedding for automated audio captioning.

ETTA: Elucidating the Design Space of Text-to-Audio Models Enclap: Combining neural audio codec and audio-text joint embedding for automated audio captioning

Reference 33

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This paper cites Variational diffusion models.

ETTA: Elucidating the Design Space of Text-to-Audio Models Variational diffusion models

Reference 34

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ETTA: Elucidating the Design Space of Text-to-Audio Models Kingma and Max Welling

Reference 35

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ETTA: Elucidating the Design Space of Text-to-Audio Models Panns: Large-scale pretrained audio neural networks for audio pattern recognition

Reference 36

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This paper cites Diffwave: A versatile diffusion model for audio synthesis.

ETTA: Elucidating the Design Space of Text-to-Audio Models Diffwave: A versatile diffusion model for audio synthesis

Reference 37

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This paper cites Audio flamingo: A novel audio language model with few-shot learning and dialogue abilities.

ETTA: Elucidating the Design Space of Text-to-Audio Models Audio flamingo: A novel audio language model with few-shot learning and dialogue abilities

Reference 38

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This paper cites Improving Text-To-Audio Models with Synthetic Captions.

ETTA: Elucidating the Design Space of Text-to-Audio Models Improving Text-To-Audio Models with Synthetic Captions

Reference 39

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This paper cites Efficient training of audio transformers with patchout.

ETTA: Elucidating the Design Space of Text-to-Audio Models Efficient training of audio transformers with patchout

Reference 40

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This paper cites AudioGen: Textually Guided Audio Generation.

ETTA: Elucidating the Design Space of Text-to-Audio Models AudioGen: Textually Guided Audio Generation

Reference 41

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This paper cites Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models.

ETTA: Elucidating the Design Space of Text-to-Audio Models Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

Reference 42

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This paper cites Efficient neural music generation.

ETTA: Elucidating the Design Space of Text-to-Audio Models Efficient neural music generation

Reference 43

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This paper cites High Fidelity Text-Guided Music Editing via Single-Stage Flow Matching.

ETTA: Elucidating the Design Space of Text-to-Audio Models High Fidelity Text-Guided Music Editing via Single-Stage Flow Matching

Reference 44

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ETTA: Elucidating the Design Space of Text-to-Audio Models Bigvgan: A universal neural vocoder with large-scale training

Reference 45

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This paper cites Quality-aware Masked Diffusion Transformer for Enhanced Music Generation.

ETTA: Elucidating the Design Space of Text-to-Audio Models Quality-aware Masked Diffusion Transformer for Enhanced Music Generation

Reference 46

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This paper cites Jen-1: Text-guided universal music generation with omnidirectional diffusion models.

ETTA: Elucidating the Design Space of Text-to-Audio Models Jen-1: Text-guided universal music generation with omnidirectional diffusion models

Reference 47

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ETTA: Elucidating the Design Space of Text-to-Audio Models Flow Matching for Generative Modeling

Reference 48

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ETTA: Elucidating the Design Space of Text-to-Audio Models Generative Pre-training for Speech with Flow Matching

Reference 49

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This paper cites Audioldm: Text-to-audio generation with latent diffusion models.

ETTA: Elucidating the Design Space of Text-to-Audio Models Audioldm: Text-to-audio generation with latent diffusion models

Reference 50

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This paper cites Audioldm 2: Learning holistic audio generation with self-supervised pretraining.

ETTA: Elucidating the Design Space of Text-to-Audio Models Audioldm 2: Learning holistic audio generation with self-supervised pretraining

Reference 51

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This paper cites Decoupled Weight Decay Regularization.

ETTA: Elucidating the Design Space of Text-to-Audio Models Decoupled Weight Decay Regularization

Reference 52

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This paper cites Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization.

ETTA: Elucidating the Design Space of Text-to-Audio Models Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization

Reference 53

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This paper cites The song describer dataset: a corpus of audio captions for music-and-language evaluation.

ETTA: Elucidating the Design Space of Text-to-Audio Models The song describer dataset: a corpus of audio captions for music-and-language evaluation

Reference 54

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Observation 0ddf404a-7328-4679-9b8f-bcc20eacfdc9 · outbound

This paper cites Wavcaps: A chatgpt-assisted weakly-labelled audio captioning dataset for audio-language multimodal research.

ETTA: Elucidating the Design Space of Text-to-Audio Models Wavcaps: A chatgpt-assisted weakly-labelled audio captioning dataset for audio-language multimodal research

Reference 55

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This paper cites Mustango: Toward Controllable Text-to-Music Generation.

ETTA: Elucidating the Design Space of Text-to-Audio Models Mustango: Toward Controllable Text-to-Music Generation

Reference 56

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This paper cites Mixed Precision Training.

ETTA: Elucidating the Design Space of Text-to-Audio Models Mixed Precision Training

Reference 57

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This paper cites Improving multimodal datasets with image captioning.

ETTA: Elucidating the Design Space of Text-to-Audio Models Improving multimodal datasets with image captioning

Reference 58

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Observation 15d34930-2554-46a9-b17d-d1ef2d63eac5 · outbound

This paper cites Gpt-4o: A powerful multimodal language model.

ETTA: Elucidating the Design Space of Text-to-Audio Models Gpt-4o: A powerful multimodal language model

Reference 59

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ETTA: Elucidating the Design Space of Text-to-Audio Models Scalable diffusion models with transformers

Reference 60

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ETTA: Elucidating the Design Space of Text-to-Audio Models Language models are unsupervised multitask learners

Reference 61

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ETTA: Elucidating the Design Space of Text-to-Audio Models Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 62

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ETTA: Elucidating the Design Space of Text-to-Audio Models The musdb18 corpus for music separation

Reference 63

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ETTA: Elucidating the Design Space of Text-to-Audio Models High-resolution image synthesis with latent diffusion models

Reference 64

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ETTA: Elucidating the Design Space of Text-to-Audio Models Progressive Distillation for Fast Sampling of Diffusion Models

Reference 65

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ETTA: Elucidating the Design Space of Text-to-Audio Models Mo \^u sai: Efficient text-to-music diffusion models

Reference 66

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ETTA: Elucidating the Design Space of Text-to-Audio Models Score-based generative modeling through stochastic differential equations

Reference 67

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ETTA: Elucidating the Design Space of Text-to-Audio Models auraloss: Audio focused loss functions in pytorch

Reference 68

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ETTA: Elucidating the Design Space of Text-to-Audio Models Automatic multitrack mixing with a differentiable mixing console of neural audio effects

Reference 69

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ETTA: Elucidating the Design Space of Text-to-Audio Models Roformer: Enhanced transformer with rotary position embedding

Reference 70

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ETTA: Elucidating the Design Space of Text-to-Audio Models Improving and generalizing flow-based generative models with minibatch optimal transport

Reference 71

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ETTA: Elucidating the Design Space of Text-to-Audio Models Attention is all you need

Reference 72

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ETTA: Elucidating the Design Space of Text-to-Audio Models Audiobox: Unified Audio Generation with Natural Language Prompts

Reference 73

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ETTA: Elucidating the Design Space of Text-to-Audio Models CogVLM: Visual Expert for Pretrained Language Models

Reference 74

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ETTA: Elucidating the Design Space of Text-to-Audio Models Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation

Reference 75

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ETTA: Elucidating the Design Space of Text-to-Audio Models Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation

Reference 76

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ETTA: Elucidating the Design Space of Text-to-Audio Models Sound-VECaps: Improving Audio Generation with Visual Enhanced Captions

Reference 77

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ETTA: Elucidating the Design Space of Text-to-Audio Models LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech

Reference 78

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ETTA: Elucidating the Design Space of Text-to-Audio Models @esa (Ref

Reference 79

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Observation afe2ca9c-508c-489f-99db-a579f9037f64 · outbound

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ETTA: Elucidating the Design Space of Text-to-Audio Models Unresolved cited work

Reference 80

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Observation 50b30830-190f-4d5d-8ae1-efca20564ce1 · outbound

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ETTA: Elucidating the Design Space of Text-to-Audio Models LP-MusicCaps: LLM-Based Pseudo Music Captioning

Reference 81

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