SOTAVerified

Speech Recognition

Speech Recognition is the task of converting spoken language into text. It involves recognizing the words spoken in an audio recording and transcribing them into a written format. The goal is to accurately transcribe the speech in real-time or from recorded audio, taking into account factors such as accents, speaking speed, and background noise.

( Image credit: SpecAugment )

Papers

Showing 19512000 of 6433 papers

TitleStatusHype
Confidence-based Ensembles of End-to-End Speech Recognition Models0
Factorised Speaker-environment Adaptive Training of Conformer Speech Recognition Systems0
Meta-Gating Framework for Fast and Continuous Resource Optimization in Dynamic Wireless Environments0
Towards Effective and Compact Contextual Representation for Conformer Transducer Speech Recognition Systems0
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning0
The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios0
AudioPaLM: A Large Language Model That Can Speak and Listen0
Strategies in Transfer Learning for Low-Resource Speech Synthesis: Phone Mapping, Features Input, and Source Language Selection0
Mixture Encoder for Joint Speech Separation and Recognition0
Learning When to Trust Which Teacher for Weakly Supervised ASR0
Federated Self-Learning with Weak Supervision for Speech Recognition0
Exploring the Role of Audio in Video Captioning0
HK-LegiCoST: Leveraging Non-Verbatim Transcripts for Speech TranslationCode0
Multi-pass Training and Cross-information Fusion for Low-resource End-to-end Accented Speech Recognition0
Rehearsal-Free Online Continual Learning for Automatic Speech RecognitionCode0
SURT 2.0: Advances in Transducer-based Multi-talker Speech RecognitionCode0
Distillation Strategies for Discriminative Speech Recognition Rescoring0
MobileASR: A resource-aware on-device learning framework for user voice personalization applications on mobile phones0
Lexical Speaker Error Correction: Leveraging Language Models for Speaker Diarization Error Correction0
Unified model for code-switching speech recognition and language identification based on a concatenated tokenizer0
Improving Code-Switching and Named Entity Recognition in ASR with Speech Editing based Data Augmentation0
EM-Network: Oracle Guided Self-distillation for Sequence Learning0
Automated Speaker Independent Visual Speech Recognition: A Comprehensive Survey0
Learning Cross-lingual Mappings for Data Augmentation to Improve Low-Resource Speech Recognition0
Feature Normalization for Fine-tuning Self-Supervised Models in Speech Enhancement0
Research on an improved Conformer end-to-end Speech Recognition Model with R-Drop Structure0
DCTX-Conformer: Dynamic context carry-over for low latency unified streaming and non-streaming Conformer ASR0
Large-scale Language Model Rescoring on Long-form Data0
Statistical Beamformer Exploiting Non-stationarity and Sparsity with Spatially Constrained ICA for Robust Speech Recognition0
Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech Recognition0
Parameter-efficient Dysarthric Speech Recognition Using Adapter Fusion and Householder Transformation0
On the N-gram Approximation of Pre-trained Language Models0
Multimodal Audio-textual Architecture for Robust Spoken Language Understanding0
Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport0
What Can an Accent Identifier Learn? Probing Phonetic and Prosodic Information in a Wav2vec2-based Accent Identification Model0
Modality Influence in Multimodal Machine Learning0
Adversarial Training For Low-Resource Disfluency CorrectionCode0
A Theory of Unsupervised Speech RecognitionCode0
Improving Frame-level Classifier for Word Timings with Non-peaky CTC in End-to-End Automatic Speech Recognition0
Record Deduplication for Entity Distribution Modeling in ASR Transcripts0
Improving Language Model Integration for Neural Machine Translation0
Latent Phrase Matching for Dysarthric Speech0
Lenient Evaluation of Japanese Speech Recognition: Modeling Naturally Occurring Spelling Inconsistency0
Label Aware Speech Representation Learning For Language Identification0
An ASR-Based Tutor for Learning to Read: How to Optimize Feedback to First Graders0
FOOCTTS: Generating Arabic Speech with Acoustic Environment for Football Commentator0
Transfer Learning of Transformer-based Speech Recognition Models from Czech to Slovak0
Text-only Domain Adaptation using Unified Speech-Text Representation in Transducer0
A study on the impact of Self-Supervised Learning on automatic dysarthric speech assessment0
Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based AugmentationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AmNetWord Error Rate (WER)8.6Unverified
2HMM-(SAT)GMMWord Error Rate (WER)8Unverified
3Local Prior Matching (Large Model)Word Error Rate (WER)7.19Unverified
4SnipsWord Error Rate (WER)6.4Unverified
5Li-GRUWord Error Rate (WER)6.2Unverified
6HMM-DNN + pNorm*Word Error Rate (WER)5.5Unverified
7CTC + policy learningWord Error Rate (WER)5.42Unverified
8Deep Speech 2Word Error Rate (WER)5.33Unverified
9Gated ConvNetsWord Error Rate (WER)4.8Unverified
10HMM-TDNN + iVectorsWord Error Rate (WER)4.8Unverified
#ModelMetricClaimedVerifiedStatus
1Local Prior Matching (Large Model)Word Error Rate (WER)20.84Unverified
2SnipsWord Error Rate (WER)16.5Unverified
3Local Prior Matching (Large Model, ConvLM LM)Word Error Rate (WER)15.28Unverified
4Deep Speech 2Word Error Rate (WER)13.25Unverified
5TDNN + pNorm + speed up/down speechWord Error Rate (WER)12.5Unverified
6CTC-CRF 4gram-LMWord Error Rate (WER)10.65Unverified
7Convolutional Speech RecognitionWord Error Rate (WER)10.47Unverified
8MT4SSLWord Error Rate (WER)9.6Unverified
9Jasper DR 10x5Word Error Rate (WER)8.79Unverified
10EspressoWord Error Rate (WER)8.7Unverified
#ModelMetricClaimedVerifiedStatus
1Deep SpeechPercentage error20Unverified
2DNN-HMMPercentage error18.5Unverified
3CD-DNNPercentage error16.1Unverified
4DNNPercentage error16Unverified
5DNN + DropoutPercentage error15Unverified
6DNN BMMIPercentage error12.9Unverified
7HMM-TDNN + pNorm + speed up/down speechPercentage error12.9Unverified
8DNN MPEPercentage error12.9Unverified
9DNN MMIPercentage error12.9Unverified
10CNN + Bi-RNN + CTC (speech to letters), 25.9% WER if trainedonlyon SWBPercentage error12.6Unverified
#ModelMetricClaimedVerifiedStatus
1LSNNPercentage error33.2Unverified
2LAS multitask with indicators samplingPercentage error20.4Unverified
3Soft Monotonic Attention (ours, offline)Percentage error20.1Unverified
4QCNN-10L-256FMPercentage error19.64Unverified
5Bi-LSTM + skip connections w/ CTCPercentage error17.7Unverified
6Bi-RNN + AttentionPercentage error17.6Unverified
7RNN-CRF on 24(x3) MFSCPercentage error17.3Unverified
8CNN in time and frequency + dropout, 17.6% w/o dropoutPercentage error16.7Unverified
9Light Gated Recurrent UnitsPercentage error16.7Unverified
10GRUPercentage error16.6Unverified
#ModelMetricClaimedVerifiedStatus
1AttWord Error Rate (WER)18.7Unverified
2CTC/AttWord Error Rate (WER)6.7Unverified
3BRA-EWord Error Rate (WER)6.63Unverified
4CTC-CRF 4gram-LMWord Error Rate (WER)6.34Unverified
5BATWord Error Rate (WER)4.97Unverified
6ParaformerWord Error Rate (WER)4.95Unverified
7U2Word Error Rate (WER)4.72Unverified
8UMAWord Error Rate (WER)4.7Unverified
9Lightweight TransducerWord Error Rate (WER)4.31Unverified
10CIF-HKD With LMWord Error Rate (WER)4.1Unverified
#ModelMetricClaimedVerifiedStatus
1Jasper 10x3Word Error Rate (WER)6.9Unverified
2CNN over RAW speech (wav)Word Error Rate (WER)5.6Unverified
3CTC-CRF 4gram-LMWord Error Rate (WER)3.79Unverified
4Deep Speech 2Word Error Rate (WER)3.6Unverified
5test-set on open vocabulary (i.e. harder), model = HMM-DNN + pNorm*Word Error Rate (WER)3.6Unverified
6TC-DNN-BLSTM-DNNWord Error Rate (WER)3.5Unverified
7Convolutional Speech RecognitionWord Error Rate (WER)3.5Unverified
8EspressoWord Error Rate (WER)3.4Unverified
9CTC-CRF VGG-BLSTMWord Error Rate (WER)3.2Unverified
10Transformer with Relaxed AttentionWord Error Rate (WER)3.19Unverified