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Automatic Speech Recognition (ASR)

Automatic Speech Recognition (ASR) involves converting spoken language into written text. It is designed to transcribe spoken words into text in real-time, allowing people to communicate with computers, mobile devices, and other technology using their voice. The goal of Automatic Speech Recognition is to accurately transcribe speech, taking into account variations in accent, pronunciation, and speaking style, as well as background noise and other factors that can affect speech quality.

Papers

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Showing 2601–2650 of 3012 papers

TitleStatusHype
A Likelihood Ratio based Domain Adaptation Method for E2E Models—0
All-neural beamformer for continuous speech separation—0
All-neural online source separation, counting, and diarization for meeting analysis—0
Almost Unsupervised Text to Speech and Automatic Speech Recognition—0
Alzheimer Disease Classification through ASR-based Transcriptions: Exploring the Impact of Punctuation and Pauses—0
A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network—0
A meta learning scheme for fast accent domain expansion in Mandarin speech recognition—0
Amharic-English Speech Translation in Tourism Domain—0
A Mixture of Expert Based Deep Neural Network for Improved ASR—0
Amortized Neural Networks for Low-Latency Speech Recognition—0
AMPS: ASR with Multimodal Paraphrase Supervision—0
A Multi-Dialectal Dataset for German Dialect ASR and Dialect-to-Standard Speech Translation—0
A Multimodal Approach to Device-Directed Speech Detection with Large Language Models—0
A Multimodal Dense Retrieval Approach for Speech-Based Open-Domain Question Answering—0
A Multi-Purpose Audio-Visual Corpus for Multi-Modal Persian Speech Recognition: the Arman-AV Dataset—0
A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition—0
An Adaptive Psychoacoustic Model for Automatic Speech Recognition—0
Analyse de l'effet de la r\'everb\'eration sur la reconnaissance automatique de la parole (Analyzing how reverberation affects Automatic Speech Recognition)—0
Analysis of GlobalPhone and Ethiopian Languages Speech Corpora for Multilingual ASR—0
An Analysis of Semantically-Aligned Speech-Text Embeddings—0
Analysis of Manipuri Tones in ManiTo: A Tonal Contrast Database—0
Analysis of Multilingual Sequence-to-Sequence speech recognition systems—0
Analysis of Phonetic Transcription for Danish Automatic Speech Recognition—0
Analysis of Self-Attention Head Diversity for Conformer-based Automatic Speech Recognition—0
Analyzing ASR pretraining for low-resource speech-to-text translation—0
Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition—0
Analyzing the factors affecting usefulness of Self-Supervised Pre-trained Representations for Speech Recognition—0
Analyzing the Performance of Automatic Speech Recognition for Ageing Voice: Does it Correlate with Dependency Level?—0
Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer—0
Analyzing Utility of Visual Context in Multimodal Speech Recognition Under Noisy Conditions—0
An analysis of degenerating speech due to progressive dysarthria on ASR performance—0
An analysis of incorporating an external language model into a sequence-to-sequence model—0
An Application for Building a Polish Telephone Speech Corpus—0
An Approach to Improve Robustness of NLP Systems against ASR Errors—0
An ASR-Based Tutor for Learning to Read: How to Optimize Feedback to First Graders—0
An ASR-free Fluency Scoring Approach with Self-Supervised Learning—0
Anatomy of Industrial Scale Multilingual ASR—0
An Attentional Model for Speech Translation Without Transcription—0
An Audio-enriched BERT-based Framework for Spoken Multiple-choice Question Answering—0
An Effective Automated Speaking Assessment Approach to Mitigating Data Scarcity and Imbalanced Distribution—0
An Effective Context-Balanced Adaptation Approach for Long-Tailed Speech Recognition—0
An Effective Contextual Language Modeling Framework for Speech Summarization with Augmented Features—0
An Effective End-to-End Modeling Approach for Mispronunciation Detection—0
An Effective Mixture-Of-Experts Approach For Code-Switching Speech Recognition Leveraging Encoder Disentanglement—0
An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts—0
An Effective Training Framework for Light-Weight Automatic Speech Recognition Models—0
An Efficient and Effective Online Sentence Segmenter for Simultaneous Interpretation—0
An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems—0
An efficient text augmentation approach for contextualized Mandarin speech recognition—0
An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition—0
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All datasetsLRS2RealMANSagaleeHUI speech corpusLRS3-TEDM-AILabs speech datasetThe Spoken Wikipedia CorporaVoxforge GermanVoxPopuli

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TM-CTCTest WER10.1—Unverified
2TM-seq2seqTest WER9.7—Unverified
3CTC/attentionTest WER8.2—Unverified
4LF-MMI TDNNTest WER6.7—Unverified
5Whisper-LLaMATest WER6.6—Unverified
6End2end ConformerTest WER3.9—Unverified
7End2end ConformerTest WER3.7—Unverified
8MoCo + wav2vec (w/o extLM)Test WER2.7—Unverified
9CTC/AttentionTest WER1.5—Unverified
10WhisperTest WER1.3—Unverified
#ModelMetricClaimedVerifiedStatus
1SpatialNetCER14.5—Unverified
2CleanMel-L-maskCER14.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ConformerTest WER15.32—Unverified
2Whisper-largev3-finetunedTest WER10.82—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)1.89—Unverified
#ModelMetricClaimedVerifiedStatus
1DistillAVWER1.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)4.28—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)8.04—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)3.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer Transducer (German)WER (%)8.98—Unverified