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Automatic Speech Recognition

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Showing 1451–1500 of 3174 papers

TitleStatusHype
H_eval: A new hybrid evaluation metric for automatic speech recognition tasks—0
Phonetic-assisted Multi-Target Units Modeling for Improving Conformer-Transducer ASR system—0
Streaming Audio-Visual Speech Recognition with Alignment Regularization—0
Leveraging Domain Features for Detecting Adversarial Attacks Against Deep Speech Recognition in Noise—0
Probing Statistical Representations For End-To-End ASR—0
Monolingual Recognizers Fusion for Code-switching Speech Recognition—0
InterMPL: Momentum Pseudo-Labeling with Intermediate CTC Loss—0
More Speaking or More Speakers?—0
Towards Zero-Shot Code-Switched Speech Recognition—0
BECTRA: Transducer-based End-to-End ASR with BERT-Enhanced Encoder—0
Mandarin-English Code-Switching Speech Recognition System for Specific Domain—0
A Comparative Study on Multichannel Speaker-Attributed Automatic Speech Recognition in Multi-party Meetings—0
Adapting self-supervised models to multi-talker speech recognition using speaker embeddings—0
Unified End-to-End Speech Recognition and Endpointing for Fast and Efficient Speech Systems—0
A Preliminary Study on Automated Speaking Assessment of English as a Second Language (ESL) Students—0
An analysis of degenerating speech due to progressive dysarthria on ASR performance—0
Predicting Multi-Codebook Vector Quantization Indexes for Knowledge Distillation—0
DiaCorrect: End-to-end error correction for speaker diarizationCode0
Audio-Visual Speech Enhancement and Separation by Utilizing Multi-Modal Self-Supervised Embeddings—0
FusionFormer: Fusing Operations in Transformer for Efficient Streaming Speech Recognition—0
Blank Collapse: Compressing CTC emission for the faster decodingCode0
Structured State Space Decoder for Speech Recognition and Synthesis—0
DuDe: Dual-Decoder Multilingual ASR for Indian Languages using Common Label Set—0
Phonemic Representation and Transcription for Speech to Text Applications for Under-resourced Indigenous African Languages: The Case of Kiswahili—0
Filter and evolve: progressive pseudo label refining for semi-supervised automatic speech recognition—0
Random Utterance Concatenation Based Data Augmentation for Improving Short-video Speech Recognition—0
Streaming Voice Conversion Via Intermediate Bottleneck Features And Non-streaming Teacher Guidance—0
On Out-of-Distribution Detection for Audio with Deep Nearest NeighborsCode0
Weight Averaging: A Simple Yet Effective Method to Overcome Catastrophic Forgetting in Automatic Speech Recognition—0
V-Cloak: Intelligibility-, Naturalness- & Timbre-Preserving Real-Time Voice Anonymization—0
Make More of Your Data: Minimal Effort Data Augmentation for Automatic Speech Recognition and Translation—0
Virtuoso: Massive Multilingual Speech-Text Joint Semi-Supervised Learning for Text-To-Speech—0
Contextual-Utterance Training for Automatic Speech Recognition—0
TRScore: A Novel GPT-based Readability Scorer for ASR Segmentation and Punctuation model evaluation and selection—0
Exploring Effective Distillation of Self-Supervised Speech Models for Automatic Speech Recognition—0
SAN: a robust end-to-end ASR model architecture—0
Simulating realistic speech overlaps improves multi-talker ASR—0
Iterative pseudo-forced alignment by acoustic CTC loss for self-supervised ASR domain adaptationCode0
Monotonic segmental attention for automatic speech recognition—0
Smart Speech Segmentation using Acousto-Linguistic Features with look-ahead—0
UFO2: A unified pre-training framework for online and offline speech recognition—0
Reducing Language confusion for Code-switching Speech Recognition with Token-level Language DiarizationCode0
Four-in-One: A Joint Approach to Inverse Text Normalization, Punctuation, Capitalization, and Disfluency for Automatic Speech Recognition—0
End-to-End Speech to Intent Prediction to improve E-commerce Customer Support Voicebot in Hindi and English—0
Efficient Utilization of Large Pre-Trained Models for Low Resource ASR—0
Linguistic-Enhanced Transformer with CTC Embedding for Speech Recognition—0
Does Joint Training Really Help Cascaded Speech Translation?Code0
Investigating self-supervised, weakly supervised and fully supervised training approaches for multi-domain automatic speech recognition: a study on Bangladeshi Bangla—0
Time-Domain Speech Enhancement for Robust Automatic Speech Recognition—0
Guided contrastive self-supervised pre-training for automatic speech recognition—0
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