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Automatic Speech Recognition

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Showing 1751–1800 of 3174 papers

TitleStatusHype
Three-Module Modeling For End-to-End Spoken Language Understanding Using Pre-trained DNN-HMM-Based Acoustic-Phonetic Model—0
Thutmose Tagger: Single-pass neural model for Inverse Text Normalization—0
Tigrinya Automatic Speech recognition with Morpheme based recognition units—0
Time and Tokens: Benchmarking End-to-End Speech Dysfluency Detection—0
Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification—0
Time-Domain Speech Enhancement for Robust Automatic Speech Recognition—0
Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge—0
TLT-school: a Corpus of Non Native Children Speech—0
TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-device ASR Models—0
Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion—0
Token-Level Serialized Output Training for Joint Streaming ASR and ST Leveraging Textual Alignments—0
TokenSplit: Using Discrete Speech Representations for Direct, Refined, and Transcript-Conditioned Speech Separation and Recognition—0
Topic Classification on Spoken Documents Using Deep Acoustic and Linguistic Features—0
Topic Identification for Speech without ASR—0
Topic Model Robustness to Automatic Speech Recognition Errors in Podcast Transcripts—0
TouchASP: Elastic Automatic Speech Perception that Everyone Can Touch—0
Toward domain-invariant speech recognition via large scale training—0
Toward Practical Automatic Speech Recognition and Post-Processing: a Call for Explainable Error Benchmark Guideline—0
Towards Accurate Text Verbalization for ASR Based on Audio Alignment—0
Towards an Automated SOAP Note: Classifying Utterances from Medical Conversations—0
Towards an Open-Source Dutch Speech Recognition System for the Healthcare Domain—0
Towards a Unified ASR System for the Armenian Standards—0
Towards Automated Assessment of Stuttering and Stuttering Therapy—0
Towards Automated Single Channel Source Separation using Neural Networks—0
Towards Automatic Transcription of ILSE ― an Interdisciplinary Longitudinal Study of Adult Development and Aging—0
Towards better decoding and language model integration in sequence to sequence models—0
Towards Better Meta-Initialization with Task Augmentation for Kindergarten-aged Speech Recognition—0
Towards Building an Automatic Transcription System for Language Documentation: Experiences from Muyu—0
Towards Data Distillation for End-to-end Spoken Conversational Question Answering—0
Towards efficient end-to-end speech recognition with biologically-inspired neural networks—0
Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations—0
Towards End-to-end Automatic Code-Switching Speech Recognition—0
Towards End-to-End Code-Switching Speech Recognition—0
Towards End-to-end Unsupervised Speech Recognition—0
Towards Estimating the Upper Bound of Visual-Speech Recognition: The Visual Lip-Reading Feasibility Database—0
Towards Evaluating the Robustness of Automatic Speech Recognition Systems via Audio Style Transfer—0
Towards hate speech detection in low-resource languages: Comparing ASR to acoustic word embeddings on Wolof and Swahili—0
Towards High-fidelity Singing Voice Conversion with Acoustic Reference and Contrastive Predictive Coding—0
Towards Lifelong Learning of End-to-end ASR—0
Towards Maximum Likelihood Training for Transducer-based Streaming Speech Recognition—0
Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions—0
Continuous Silent Speech Recognition using EEG—0
Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR—0
Towards Online End-to-end Transformer Automatic Speech Recognition—0
Towards Pretraining Robust ASR Foundation Model with Acoustic-Aware Data Augmentation—0
Towards Probing Contact Center Large Language Models—0
Towards Quantum Language Models—0
Representative Subset Selection for Efficient Fine-Tuning in Self-Supervised Speech Recognition—0
Towards Selection of Text-to-speech Data to Augment ASR Training—0
Towards speech-to-text translation without speech recognition—0
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