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 63016350 of 6433 papers

TitleStatusHype
An Unsupervised Approach to User Simulation: Toward Self-Improving Dialog Systems0
Exploiting Machine-Transcribed Dialog Corpus to Improve Multiple Dialog States Tracking Methods0
From Strangers to Partners: Examining Convergence within a Longitudinal Study of Task-Oriented Dialogue0
The Effect of Cognitive Load on a Statistical Dialogue System0
A Temporal Simulator for Developing Turn-Taking Methods for Spoken Dialogue Systems0
Probabilistic Dialogue Models with Prior Domain Knowledge0
Assessment of ESL Learners' Syntactic Competence Based on Similarity Measures0
Universal Grapheme-to-Phoneme Prediction Over Latin Alphabets0
Generative Goal-Driven User Simulation for Dialog Management0
Cross-Lingual Language Modeling with Syntactic Reordering for Low-Resource Speech Recognition0
Spectral Dependency Parsing with Latent Variables0
Optimising Incremental Dialogue Decisions Using Information Density for Interactive Systems0
IRIS: a Chat-oriented Dialogue System based on the Vector Space Model0
The OpenGrm open-source finite-state grammar software libraries0
Automated Essay Scoring Based on Finite State Transducer: towards ASR Transcription of Oral English Speech0
Mixing Multiple Translation Models in Statistical Machine Translation0
Probabilistic Integration of Partial Lexical Information for Noise Robust Haptic Voice Recognition0
Fast and Scalable Decoding with Language Model Look-Ahead for Phrase-based Statistical Machine Translation0
Large-Scale Syntactic Language Modeling with Treelets0
Fast Syntactic Analysis for Statistical Language Modeling via Substructure Sharing and Uptraining0
Discriminative Pronunciation Modeling: A Large-Margin, Feature-Rich Approach0
Pr\'ediction de l'indexabilit\'e d'une transcription (Prediction of transcription indexability) [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
Impact du degr\'e de supervision sur l'adaptation \`a un domaine d'un mod\`ele de langage \`a partir du Web (Impact of the level of supervision on Web-based language model domain adaptation) [in French]0
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
Reconnaissance automatique de la parole distante dans un habitat intelligent : m\'ethodes multi-sources en conditions r\'ealistes (Distant Speech Recognition in a Smart Home : Comparison of Several Multisource ASRs in Realistic Conditions) [in French]0
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
G\'en\'eration des prononciations de noms propres \`a l'aide des Champs Al\'eatoires Conditionnels (Pronunciation generation for proper names using Conditional Random Fields) [in French]0
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
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
La longueur des tours de parole comme crit\`ere de s\'election de conversations dans un centre d'appels (Turn-taking length as criterion to select call center conversations) [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
D\'eveloppement de ressources en swahili pour un syt\`eme de reconnaisance automatique de la parole (Developments of Swahili resources for an automatic speech recognition system) [in French]0
Phrase Model Training for Statistical Machine Translation with Word Lattices of Preprocessing Alternatives0
Communication strategies for a computerized caregiver for individuals with Alzheimer's disease0
Discourse-Based Modeling for AAC0
Contribution \`a l'\'etude de la variabilit\'e de la voix des personnes \^ag\'ees en reconnaissance automatique de la parole (Contribution to the study of elderly people's voice variability in automatic speech recognition) [in French]0
Scoring Spoken Responses Based on Content Accuracy0
Interactions sonores et vocales dans l'habitat (Acoustic Interaction At Home) [in French]0
La transcription phon\'etique au bout des doigts, claviers et polices ergonomiques pour la transcription en API (Phonetic transcription at fingertips, ergonomics keyboards and fonts) [in French]0
Using an Ontology for Improved Automated Content Scoring of Spontaneous Non-Native Speech0
Large, Pruned or Continuous Space Language Models on a GPU for Statistical Machine Translation0
Arabic Dialect Processing Tutorial0
The Future of Spoken Dialogue Systems is in their Past: Long-Term Adaptive, Conversational Assistants0
Measuring the Influence of Long Range Dependencies with Neural Network Language Models0
Mining Search Query Logs for Spoken Language Understanding0
Revisiting the Case for Explicit Syntactic Information in Language Models0
G2P Conversion of Proper Names Using Word Origin Information0
Large-scale discriminative language model reranking for voice-search0
Trait-Based Hypothesis Selection For Machine Translation0
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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