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 63516400 of 6433 papers

TitleStatusHype
Revisiting the Case for Explicit Syntactic Information in Language Models0
Traduction automatique \`a partir de corpus comparables: extraction de phrases parall\`eles \`a partir de donn\'ees comparables multimodales (Automatic Translation from Comparable corpora : extracting parallel sentences from multimodal comparable corpora) [in French]0
Extraction de mots clefs dans des vid\'eos Web par Analyse Latente de Dirichlet (LDA-based tagging of Web videos) [in French]0
Trait-Based Hypothesis Selection For Machine Translation0
Robustesse et portabilit\'es multilingue et multi-domaines des syst\`emes de compr\'ehension de la parole : les corpus du projet PortMedia (Robustness and portability of spoken language understanding systems among languages and domains : the PORTMEDIA project) [in French]0
Exploring Content Features for Automated Speech Scoring0
Mining Search Query Logs for Spoken Language Understanding0
Exploitation d'une marge de tol\'erance de classification pour am\'eliorer l'apprentissage de mod\`eles acoustiques de classes en reconnaissance de la parole (Exploitation of a classification tolerance margin for improving the estimation of class-based acoustic models for speech recognition) [in French]0
Avanc\'ees dans le domaine de la transcription automatique par d\'ecodage guid\'e (Improvements on driven decoding system combination) [in French]0
Measuring the Influence of Long Range Dependencies with Neural Network Language Models0
Etude de la performance des modèles acoustiques pour des voix de personnes âgées en vue de l'adaptation des systèmes de RAP (Assessment of the acoustic models performance in the ageing voice case for ASR system adaptation) [in French]0
Pr\'ediction de l'indexabilit\'e d'une transcription (Prediction of transcription indexability) [in French]0
Building a synchronous corpus of acoustic and 3D facial marker data for adaptive audio-visual speech synthesis0
The DISCO ASR-based CALL system: practicing L2 oral skills and beyond0
Suffix Trees as Language Models0
Cross-lingual studies of ASR errors: paradigms for perceptual evaluations0
A Scalable Architecture For Web Deployment of Spoken Dialogue Systems0
LDC Forced Aligner0
BUCEADOR, a multi-language search engine for digital libraries0
From keystrokes to annotated process data: Enriching the output of Inputlog with linguistic information0
Syntactic annotation of spontaneous speech: application to call-center conversation data0
Designing an Evaluation Framework for Spoken Term Detection and Spoken Document Retrieval at the NTCIR-9 SpokenDoc Task0
The Twins Corpus of Museum Visitor Questions0
Prosomarker: a prosodic analysis tool based on optimal pitch stylization and automatic syllabi fication0
TED-LIUM: an Automatic Speech Recognition dedicated corpus0
Evaluating Appropriateness Of System Responses In A Spoken CALL Game0
The META-SHARE Language Resources Sharing Infrastructure: Principles, Challenges, Solutions0
The ETAPE corpus for the evaluation of speech-based TV content processing in the French language0
SUTAV: A Turkish Audio-Visual Database0
Development of Text and Speech database for Hindi and Indian English specific to Mobile Communication environment0
A hierarchical approach with feature selection for emotion recognition from speech0
Comparing performance of different set-covering strategies for linguistic content optimization in speech corpora0
Simplified guidelines for the creation of Large Scale Dialectal Arabic Annotations0
Statistical Evaluation of Pronunciation Encoding0
A Parameterized and Annotated Spoken Dialog Corpus of the CMU Let's Go Bus Information System0
Conventional Orthography for Dialectal Arabic0
Building a 70 billion word corpus of English from ClueWeb0
The coding and annotation of multimodal dialogue acts0
DECODA: a call-centre human-human spoken conversation corpus0
RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus0
The KIT Lecture Corpus for Speech Translation0
CoALT: A Software for Comparing Automatic Labelling Tools0
Korean Children's Spoken English Corpus and an Analysis of its Pronunciation Variability0
Using an ASR database to design a pronunciation evaluation system in Basque0
The IWSLT 2011 Evaluation Campaign on Automatic Talk Translation0
Automatic Speech Recognition on a Firefighter TETRA Broadcast Channel0
Resource Evaluation for Usable Speech Interfaces: Utilizing Human-Human Dialogue0
An Oral History Annotation Tool for INTER-VIEWs0
Building Text-To-Speech Voices in the Cloud0
Towards Fully Automatic Annotation of Audio Books for TTS0
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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