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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 1251–1300 of 3012 papers

TitleStatusHype
Streaming Punctuation for Long-form Dictation with Transformers—0
Comparison of Soft and Hard Target RNN-T Distillation for Large-scale ASR—0
Scaling Up Deliberation for Multilingual ASR—0
An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition—0
Cloud-based Automatic Speech Recognition Systems for Southeast Asian Languages—0
SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-trainingCode0
Pronunciation Modeling of Foreign Words for Mandarin ASR by Considering the Effect of Language Transfer—0
Damage Control During Domain Adaptation for Transducer Based Automatic Speech Recognition—0
Efficient acoustic feature transformation in mismatched environments using a Guided-GAN—0
Investigating the Impact of ASR Errors on Spoken Implicit Discourse Relation Recognition—0
Improving Code-switched ASR with Linguistic Information—0
Zero-shot Disfluency Detection for Indian Languages—0
Multi-stage Progressive Compression of Conformer Transducer for On-device Speech Recognition—0
Language-specific Effects on Automatic Speech Recognition Errors for World Englishes—0
Can We Train a Language Model Inside an End-to-End ASR Model? - Investigating Effective Implicit Language Modeling—0
Keyphrase Prediction from Video Transcripts: New Dataset and Directions—0
E-Branchformer: Branchformer with Enhanced merging for speech recognition—0
Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition—0
Blind Signal Dereverberation for Machine Speech Recognition—0
An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts—0
On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question AnsweringCode0
Unsupervised domain adaptation for speech recognition with unsupervised error correction—0
Assessing ASR Model Quality on Disordered Speech using BERTScore—0
Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition modelsCode0
An Automatic Speech Recognition System for Bengali Language based on Wav2Vec2 and Transfer LearningCode0
Non-Parallel Voice Conversion for ASR Augmentation—0
A Universally-Deployable ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement, and Voice Separation—0
Federated Pruning: Improving Neural Network Efficiency with Federated Learning—0
Bangla-Wave: Improving Bangla Automatic Speech Recognition Utilizing N-gram Language Models—0
Analysis of Self-Attention Head Diversity for Conformer-based Automatic Speech Recognition—0
Learning ASR pathways: A sparse multilingual ASR model—0
Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification—0
VarArray Meets t-SOT: Advancing the State of the Art of Streaming Distant Conversational Speech Recognition—0
Lexicon and Attention based Handwritten Text Recognition System—0
Streaming Target-Speaker ASR with Neural Transducer—0
Modeling Dependent Structure for Utterances in ASR Evaluation—0
Distilling the Knowledge of BERT for CTC-based ASR—0
Mlphon: A Multifunctional Grapheme-Phoneme Conversion Tool Using Finite State TransducersCode0
Semantically Meaningful Metrics for Norwegian ASR SystemsCode0
DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues—0
Attention Enhanced Citrinet for Speech Recognition—0
Evaluation of Automatic Speech Recognition for Conversational Speech in Dutch, English and German: What Goes Missing?—0
Robust Translation of French Live Speech Transcripts—0
A Language Agnostic Multilingual Streaming On-Device ASR System—0
Investigating data partitioning strategies for crosslinguistic low-resource ASR evaluation—0
DualVoice: Speech Interaction that Discriminates between Normal and Whispered Voice Input—0
Are disentangled representations all you need to build speaker anonymization systems?—0
Analyzing Robustness of End-to-End Neural Models for Automatic Speech RecognitionCode0
Building a Public Domain Voice Database for Odia—0
Comparison and Analysis of New Curriculum Criteria for End-to-End ASRCode0
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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