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 21012150 of 6433 papers

TitleStatusHype
100,000 Podcasts: A Spoken English Document Corpus0
Challenges of Applying Automatic Speech Recognition for Transcribing EU Parliament Committee Meetings: A Pilot Study0
Challenges in Speech Recognition and Translation of High-Value Low-Density Polysynthetic Languages0
A Preliminary Study on Automated Speaking Assessment of English as a Second Language (ESL) Students0
Challenges and Solutions for Consistent Annotation of Vietnamese Treebank0
Challenges and Opportunities of Speech Recognition for Bengali Language0
A Preliminary Exploration with GPT-4o Voice Mode0
A Corpus for a Gesture-Controlled Mobile Spoken Dialogue System0
Challenges and Opportunities in Multi-device Speech Processing0
Challenges and Obstacles Towards Deploying Deep Learning Models on Mobile Devices0
A practical two-stage training strategy for multi-stream end-to-end speech recognition0
Challenges and Insights: Exploring 3D Spatial Features and Complex Networks on the MISP Dataset0
Chain-of-Thought Training for Open E2E Spoken Dialogue Systems0
A practical framework for multi-domain speech recognition and an instance sampling method to neural language modeling0
Adversarial Data Augmentation Using VAE-GAN for Disordered Speech Recognition0
Accented Speech Recognition: A Survey0
End-to-End Training Approaches for Discriminative Segmental Models0
Energy-Based Models with Applications to Speech and Language Processing0
Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation0
Chain-of-Thought Prompting for Speech Translation0
Chain of Correction for Full-text Speech Recognition with Large Language Models0
Approximate Nearest Neighbour Phrase Mining for Contextual Speech Recognition0
Chain-based Discriminative Autoencoders for Speech Recognition0
ApproxDBN: Approximate Computing for Discriminative Deep Belief Networks0
Adversarial Data Augmentation for Disordered Speech Recognition0
A Corpus and Phonetic Dictionary for Tunisian Arabic Speech Recognition0
CEASR: A Corpus for Evaluating Automatic Speech Recognition0
A Multitask Training Approach to Enhance Whisper with Contextual Biasing and Open-Vocabulary Keyword Spotting0
ApproBiVT: Lead ASR Models to Generalize Better Using Approximated Bias-Variance Tradeoff Guided Early Stopping and Checkpoint Averaging0
Causal Structure Discovery for Error Diagnostics of Children's ASR0
Adversarial Black-Box Attacks on Automatic Speech Recognition Systems using Multi-Objective Evolutionary Optimization0
On joint training with interfaces for spoken language understanding0
Causal Analysis of ASR Errors for Children: Quantifying the Impact of Physiological, Cognitive, and Extrinsic Factors0
Apport de l'adaptation automatique des mod\`eles de langage pour la reconnaissance de la parole: \'evaluation qualitative extrins\`eque dans un contexte de traitement de cours magistraux (Contribution of automatic adaptation of language models for speech recognition : extrinsic qualitative evaluation in a context of educational courses)0
Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey0
CAT: A CTC-CRF based ASR Toolkit Bridging the Hybrid and the End-to-end Approaches towards Data Efficiency and Low Latency0
CASS-NAT: CTC Alignment-based Single Step Non-autoregressive Transformer for Speech Recognition0
Applying wav2vec2 for Speech Recognition on Bengali Common Voices Dataset0
AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition0
CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface0
Applying Wav2vec2.0 to Speech Recognition in Various Low-resource Languages0
Applying Unsupervised Learning To Support Vector Space Model Based Speaking Assessment0
Cascade RNN-Transducer: Syllable Based Streaming On-device Mandarin Speech Recognition with a Syllable-to-Character Converter0
Cascaded Models With Cyclic Feedback For Direct Speech Translation0
Adversarial Attacks on ASR Systems: An Overview0
End-to-End Spoken Language Understanding Without Full Transcripts0
End-to-End Spoken Language Understanding: Performance analyses of a voice command task in a low resource setting0
Cascaded encoders for unifying streaming and non-streaming ASR0
Cascaded Cross-Modal Transformer for Request and Complaint Detection0
Applying LLMs for Rescoring N-best ASR Hypotheses of Casual Conversations: Effects of Domain Adaptation and Context Carry-over0
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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
9HMM-TDNN + iVectorsWord Error Rate (WER)4.8Unverified
10Gated ConvNetsWord 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
7DNN MPEPercentage error12.9Unverified
8DNN MMIPercentage error12.9Unverified
9HMM-TDNN + pNorm + speed up/down speechPercentage error12.9Unverified
10HMM-DNN +sMBRPercentage 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
6Convolutional Speech RecognitionWord Error Rate (WER)3.5Unverified
7TC-DNN-BLSTM-DNNWord 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