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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 1701–1750 of 3012 papers

TitleStatusHype
On Prosody Modeling for ASR+TTS based Voice Conversion—0
Sequence Model with Self-Adaptive Sliding Window for Efficient Spoken Document Segmentation—0
Token-Level Supervised Contrastive Learning for Punctuation RestorationCode1
A baseline model for computationally inexpensive speech recognition for Kazakh using the Coqui STT framework—0
STRODE: Stochastic Boundary Ordinary Differential EquationCode1
A Comparison of Methods for OOV-word Recognition on a New Public DatasetCode1
VAD-free Streaming Hybrid CTC/Attention ASR for Unsegmented Recording—0
Multi-task Learning with Cross Attention for Keyword Spotting—0
Zero-shot Speech Translation—0
A Configurable Multilingual Model is All You Need to Recognize All Languages—0
The IWSLT 2021 BUT Speech Translation Systems—0
Perceptual-based deep-learning denoiser as a defense against adversarial attacks on ASR systems—0
Layer-wise Analysis of a Self-supervised Speech Representation ModelCode1
Loss Prediction: End-to-End Active Learning Approach For Speech Recognition—0
On lattice-free boosted MMI training of HMM and CTC-based full-context ASR models—0
Noisy Training Improves E2E ASR for the Edge—0
Improved Language Identification Through Cross-Lingual Self-Supervised Learning—0
End-to-End Rich Transcription-Style Automatic Speech Recognition with Semi-Supervised Learning—0
Advancing CTC-CRF Based End-to-End Speech Recognition with Wordpieces and Conformers—0
A Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio—0
Instant One-Shot Word-Learning for Context-Specific Neural Sequence-to-Sequence Speech RecognitionCode0
Investigation of Practical Aspects of Single Channel Speech Separation for ASR—0
Cross-Modal Transformer-Based Neural Correction Models for Automatic Speech Recognition—0
Unified Autoregressive Modeling for Joint End-to-End Multi-Talker Overlapped Speech Recognition and Speaker Attribute Estimation—0
TENET: A Time-reversal Enhancement Network for Noise-robust ASRCode1
Arabic Code-Switching Speech Recognition using Monolingual Data—0
Dual Causal/Non-Causal Self-Attention for Streaming End-to-End Speech Recognition—0
Relaxed Attention: A Simple Method to Boost Performance of End-to-End Automatic Speech RecognitionCode1
Multi-user VoiceFilter-Lite via Attentive Speaker Embedding—0
SmarTerp: A CAI System to Support Simultaneous Interpreters in Real-Time—0
Improving Named Entity Recognition in Spoken Dialog Systems by Context and Speech Pattern Modeling—0
Pretext Tasks selection for multitask self-supervised speech representation learningCode0
Word-Free Spoken Language Understanding for Mandarin-Chinese—0
Combining Frame-Synchronous and Label-Synchronous Systems for Speech RecognitionCode1
StableEmit: Selection Probability Discount for Reducing Emission Latency of Streaming Monotonic Attention ASR—0
Sequence-level Confidence Classifier for ASR Utterance Accuracy and Application to Acoustic Models—0
On joint training with interfaces for spoken language understanding—0
IMS' Systems for the IWSLT 2021 Low-Resource Speech Translation Task—0
Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding—0
QASR: QCRI Aljazeera Speech Resource -- A Large Scale Annotated Arabic Speech Corpus—0
Where are we in semantic concept extraction for Spoken Language Understanding?—0
Mixtures of Deep Neural Experts for Automated Speech Scoring—0
Zero-Shot Joint Modeling of Multiple Spoken-Text-Style Conversion Tasks using Switching Tokens—0
A Discriminative Entity-Aware Language Model for Virtual Assistants—0
An Improved Single Step Non-autoregressive Transformer for Automatic Speech Recognition—0
On-Device Personalization of Automatic Speech Recognition Models for Disordered Speech—0
Golos: Russian Dataset for Speech ResearchCode1
Low Resource German ASR with Untranscribed Data Spoken by Non-native Children -- INTERSPEECH 2021 Shared Task SPAPL System—0
Multi-mode Transformer Transducer with Stochastic Future Context—0
Layer Pruning on Demand with Intermediate CTC—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