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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
Debiased Automatic Speech Recognition for Dysarthric Speech via Sample Reweighting with Sample Affinity Test—0
Adversarial Training for Multilingual Acoustic Modeling—0
Articulatory Features for ASR of Pathological Speech—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
Deep CLAS: Deep Contextual Listen, Attend and Spell—0
DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues—0
Cascaded CNN-resBiLSTM-CTC: An End-to-End Acoustic Model For Speech Recognition—0
Articulatory and bottleneck features for speaker-independent ASR of dysarthric speech—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
A user study to compare two conversational assistants designed for people with hearing impairments—0
CASA-ASR: Context-Aware Speaker-Attributed ASR—0
Deep Learning for Pathological Speech: A Survey—0
CarneliNet: Neural Mixture Model for Automatic 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
Accented Speech Recognition: A Survey—0
Automated speech-unit delimitation in spoken learner English—0
Dialog act guided contextual adapter for personalized speech recognition—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
Deep Xi as a Front-End for Robust Automatic Speech Recognition—0
Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser—0
Careful Whisper -- leveraging advances in automatic speech recognition for robust and interpretable aphasia subtype classification—0
Capturing Multi-Resolution Context by Dilated Self-Attention—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
A review of on-device fully neural end-to-end automatic speech recognition algorithms—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
Automatic recognition and detection of aphasic natural speech—0
Automatic recognition of child speech for robotic applications in noisy environments—0
Capitalization and Punctuation Restoration: a Survey—0
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