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Automatic Speech Recognition

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Showing 851–900 of 3174 papers

TitleStatusHype
DCF-DS: Deep Cascade Fusion of Diarization and Separation for Speech Recognition under Realistic Single-Channel Conditions—0
DCTX-Conformer: Dynamic context carry-over for low latency unified streaming and non-streaming Conformer ASR—0
CoSTA: Code-Switched Speech Translation using Aligned Speech-Text Interleaving—0
COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning—0
Attentive Adversarial Learning for Domain-Invariant Training—0
Decoder-only Architecture for Streaming End-to-end Speech Recognition—0
Decoupled Federated Learning for ASR with Non-IID Data—0
Decoupled Structure for Improved Adaptability of End-to-End Models—0
Decoupling Pronunciation and Language for End-to-end Code-switching Automatic Speech Recognition—0
Decoupling recognition and transcription in Mandarin ASR—0
All-neural beamformer for continuous speech separation—0
DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues—0
Correlation Distance Skip Connection Denoising Autoencoder (CDSK-DAE) for Speech Feature Enhancement—0
Correlated Bigram LSA for Unsupervised Language Model Adaptation—0
Deep Graph Random Process for Relational-Thinking-Based Speech Recognition—0
Deep Learning Based Dereverberation of Temporal Envelopesfor Robust Speech Recognition—0
Deep Learning based Multi-Source Localization with Source Splitting and its Effectiveness in Multi-Talker Speech Recognition—0
Attention Enhanced Citrinet for Speech Recognition—0
Correction of Automatic Speech Recognition with Transformer Sequence-to-sequence Model—0
Deep Learning for Pathological Speech: A Survey—0
Deep Multimodal Learning for Audio-Visual Speech Recognition—0
Deep Neural Networks for Automatic Speech Processing: A Survey from Large Corpora to Limited Data—0
Deep Recurrent Convolutional Neural Network: Improving Performance For Speech Recognition—0
Deep Recurrent Neural Networks for Acoustic Modelling—0
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends—0
Deep Shallow Fusion for RNN-T Personalization—0
Correction Focused Language Model Training for Speech Recognition—0
Attention-based Wav2Text with Feature Transfer Learning—0
A Likelihood Ratio based Domain Adaptation Method for E2E Models—0
Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization—0
Deep versus Wide: An Analysis of Student Architectures for Task-Agnostic Knowledge Distillation of Self-Supervised Speech Models—0
Deep Visual Forced Alignment: Learning to Align Transcription with Talking Face Video—0
A Curriculum Learning Method for Improved Noise Robustness in Automatic Speech Recognition—0
Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser—0
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models—0
Corpus Phonetics Tutorial—0
Deliberation Model Based Two-Pass End-to-End Speech Recognition—0
Deliberation Model for On-Device Spoken Language Understanding—0
Demystifying Limited Adversarial Transferability in Automatic Speech Recognition Systems—0
DENOASR: Debiasing ASRs through Selective Denoising—0
Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition—0
Densely Connected Convolutional Networks for Speech Recognition—0
Attention based on-device streaming speech recognition with large speech corpus—0
Deploying self-supervised learning in the wild for hybrid automatic speech recognition—0
Deploying Technology to Save Endangered Languages—0
Designing a Speech Corpus for the Development and Evaluation of Dictation Systems in Latvian—0
Designing the Next Generation of Intelligent Personal Robotic Assistants for the Physically Impaired—0
Corpus Generation for Voice Command in Smart Home and the Effect of Speech Synthesis on End-to-End SLU—0
Corpora for Cross-Language Information Retrieval in Six Less-Resourced Languages—0
Align, Write, Re-order: Explainable End-to-End Speech Translation via Operation Sequence Generation—0
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