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Automatic Speech Recognition

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Showing 1801–1850 of 3174 papers

TitleStatusHype
Towards Stream Translation: Adaptive Computation Time for Simultaneous Machine Translation—0
Towards Structured Deep Neural Network for Automatic Speech Recognition—0
Towards Structured Deep Neural Network for Automatic Speech Recognition—0
Towards the Universal Defense for Query-Based Audio Adversarial Attacks—0
Unified model for code-switching speech recognition and language identification based on a concatenated tokenizer—0
Toward Streaming ASR with Non-Autoregressive Insertion-based Model—0
Towards Understanding ASR Error Correction for Medical Conversations—0
Towards Unsupervised Automatic Speech Recognition Trained by Unaligned Speech and Text only—0
Towards Word-Level End-to-End Neural Speaker Diarization with Auxiliary Network—0
Towards Zero-Shot Code-Switched Speech Recognition—0
Toward Zero Oracle Word Error Rate on the Switchboard Benchmark—0
Trading Devil Final: Backdoor attack via Stock market and Bayesian Optimization—0
Tradition or Innovation: A Comparison of Modern ASR Methods for Forced Alignment—0
Training for Speech Recognition on Coprocessors—0
Training Neural Speech Recognition Systems with Synthetic Speech Augmentation—0
Training Neural Speech Recognition Systems with Synthetic Speech Augmentation—0
Training Speech Enhancement Systems with Noisy Speech Datasets—0
Training variance and performance evaluation of neural networks in speech—0
Train your classifier first: Cascade Neural Networks Training from upper layers to lower layers—0
Transcending Controlled Environments Assessing the Transferability of ASRRobust NLU Models to Real-World Applications—0
TranscRater: a Tool for Automatic Speech Recognition Quality Estimation—0
Transcribe, Align and Segment: Creating speech datasets for low-resource languages—0
Transcribe-to-Diarize: Neural Speaker Diarization for Unlimited Number of Speakers using End-to-End Speaker-Attributed ASR—0
Transcribing and Translating, Fast and Slow: Joint Speech Translation and Recognition—0
Transcribing Educational Videos Using Whisper: A preliminary study on using AI for transcribing educational videos—0
Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition—0
Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation—0
Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition—0
Transducers with Pronunciation-aware Embeddings for Automatic Speech Recognition—0
Transferable Adversarial Attacks against ASR—0
Transferable and Configurable Audio Adversarial Attack from Low-Level Features—0
Transfer Learning Approaches for Streaming End-to-End Speech Recognition System—0
Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments—0
Transfer Learning for British Sign Language Modelling—0
Transfer Learning for Less-Resourced Semitic Languages Speech Recognition: the Case of Amharic—0
Transfer Learning for Robust Low-Resource Children's Speech ASR with Transformers and Source-Filter Warping—0
Transfer Learning from Adult to Children for Speech Recognition: Evaluation, Analysis and Recommendations—0
Transfer Learning from Pre-trained Language Models Improves End-to-End Speech Summarization—0
Transfer Learning from Whisper for Microscopic Intelligibility Prediction—0
Transferring Knowledge from a RNN to a DNN—0
Transformer ASR with Contextual Block Processing—0
Transformer-based ASR Incorporating Time-reduction Layer and Fine-tuning with Self-Knowledge Distillation—0
Transformer-based Automatic Speech Recognition of Formal and Colloquial Czech in MALACH Project—0
Transformer-based Model for ASR N-Best Rescoring and Rewriting—0
Transformer-based Online CTC/attention End-to-End Speech Recognition Architecture—0
Transformer-based Streaming ASR with Cumulative Attention—0
Transformer-Based Video Front-Ends for Audio-Visual Speech Recognition for Single and Multi-Person Video—0
Transformers in Speech Processing: A Survey—0
Transformer-Transducers for Code-Switched Speech Recognition—0
Transformer with Bidirectional Decoder for Speech Recognition—0
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