Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:33:15.369630Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2412.08651.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:33:15.369630Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
38 of 38 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 5cfffc27-8089-461c-ab48-3637071fa569 · outbound
Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Unresolved cited work
Reference 1
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Unresolved cited work
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Unresolved cited work
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Experimental setup All experiments are conducted using the SEAME dataset [28], a spontaneous code -switching corpus recorded by Southeast Asian speakers
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Unresolved cited work
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Any findings and implications in the paper do not necessarily reflect those of the sponsor
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Transformer-Transducers for Code - Switched Speech Recognition ,
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition
Reference 8
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Observation 3f13e69b-0cf6-4148-bf88-cbc3a163b4eb · outbound
Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Self-Training and Pre -Training are Complementary for Speech Recognition ,
Reference 9
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection FunASR: a Fundamental End-To-End Speech Recognition Toolkit,
Reference 10
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Observation d9571227-ed67-4ba2-a1ce-fd4c06dcb2ba · outbound
Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection A First Speech Recognition System for Mandarin-English Code-Switch Conversational Speech ,
Reference 12
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Towards Code-switching ASR for End -to-end CTC Models,
Reference 13
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Observation 06e9c726-6423-4d8b-a57e-454b57e69265 · outbound
Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Minimum Word Error Training for Non - Autoregressive Transformer -Based Code -Switching ASR,
Reference 14
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Towards Zero-Shot Code -Switched Speech Recognition,
Reference 15
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Observation c73ce72e-6de4-4cc8-ba97-5d9031dc5147 · outbound
Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection A Study of Pronunciation Problems of English Learners in China,
Reference 16
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Integrating Knowledge in End -To-End Automatic Speech Recognition for Mandarin-English Codeswitching,
Reference 17
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection LAE: Language-Aware Encoder for Monolingual and Multilingual ASR
Reference 18
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Language-Specific Characteristic Assistance for Code-Switching Speech Recognition,
Reference 19
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Bi-encoder Transformer Network for Mandarin- English Code-Switching Speech Recognition Using Mixture of Experts ,
Reference 20
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Multi-Encoder-Decoder Transformer for Code-Switching Speech Recognition
Reference 21
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Language-Specific Characteristic Assistance for Codeswitching Speech Recognition ,
Reference 22
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection An Effective Mixture -of-Experts Approach for Code -Switching Speech Recognition Leveraging Encoder Disentanglement ,
Reference 23
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Intermediate Loss Regularization for CTC- Based Speech Recognition,
Reference 24
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Observation 76d6b601-9b82-47db-91aa-a5af48d06a7b · outbound
Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Hierarchical Multitask Learning with CTC,
Reference 25
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Relaxing the Conditional Independence Assumption Of CTC-Based ASR By Conditioning on Intermediate Predictions ,
Reference 26
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Mask CTC: Non-Autoregressive End-To- End ASR with CTC and Mask Predict ,
Reference 27
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection AlignRefine: Non-Autoregressive Speech Recognition via Iterative Realignment,
Reference 28
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Observation bc67ec4c-075d-4c71-90c7-5ede720b21b8 · outbound
Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Why does CTC result in peaky behavior?
Reference 29
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Observation e6c705f3-d152-44aa-95c7-c4e2dc800d60 · outbound
Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Less Peaky and More Accurate CTC Forced Alignment by Label Priors,
Reference 30
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Peap-First CTC: Reducing the Peak Latency of CTC Models by Applying Peak -First Regularization,
Reference 31
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Reducing Language Confusion for Code - Switching Speech Recognition with Token -Level Language Diarization,
Reference 32
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Enhancing Code-Switching Speech Recognition with Interactive Language Biases ,
Reference 33
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection SEAME: A Mandarin -English Code- Switching Speech Corpus in South -East Asia,
Reference 34
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection The ASRU 2019 Mandarin-English Code-Switching Speech Recognition Challenge: Open Datasets, Tracks, Methods and Results
Reference 35
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection AISHELL -1: An Open-Source Mandarin Speech Corpus and A Speech Recognition Baseline ,
Reference 36
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Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Librispeech: An ASR Corpus Based on Public uomain Audio Boops,
Reference 37
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Observation a8dd9f2c-18ae-4587-bf7d-c184dea6a48a · outbound
Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection Low-resource speech recognition and dialect identification of Irish in a multi-task framework
Reference 38
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No inbound Pith citation observations are available.