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 60516100 of 6433 papers

TitleStatusHype
Incremental Predictive Parsing with TurboParser0
A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser Ney SmoothingCode0
Fast and Robust Neural Network Joint Models for Statistical Machine Translation0
Sliding Alignment Windows for Real-Time Crowd Captioning0
Learning Ensembles of Structured Prediction Rules0
Semantics for Large-Scale Multimedia: New Challenges for NLP0
lex4all: A language-independent tool for building and evaluating pronunciation lexicons for small-vocabulary speech recognitionCode0
Can You Repeat That? Using Word Repetition to Improve Spoken Term Detection0
Word Segmentation of Informal Arabic with Domain Adaptation0
Discovering Latent Structure in Task-Oriented Dialogues0
Detecting Retries of Voice Search Queries0
Unsupervised Morphology-Based Vocabulary Expansion0
Optimizing Segmentation Strategies for Simultaneous Speech Translation0
EM Decipherment for Large Vocabularies0
Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Application in Visual Speech Recognition0
The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities0
Design and Optimization of a Speech Recognition Front-End for Distant-Talking Control of a Music Playback Device0
Utilizing constituent structure for compound analysis0
Exploiting the large-scale German Broadcast Corpus to boost the Fraunhofer IAIS Speech Recognition System0
New functions for a multipurpose multimodal tool for phonetic and linguistic analysis of very large speech corpora0
El-WOZ: a client-server wizard-of-oz interface0
Assessment of Non-native Prosody for Spanish as L2 using quantitative scores and perceptual evaluation0
A Multimodal Corpus of Rapid Dialogue Games0
Student achievement and French sentence repetition test scores0
Automatic Long Audio Alignment and Confidence Scoring for Conversational Arabic Speech0
A Crowdsourcing Smartphone Application for Swiss German: Putting Language Documentation in the Hands of the Users0
The Slovene BNSI Broadcast News database and reference speech corpus GOS: Towards the uniform guidelines for future work0
DINASTI: Dialogues with a Negotiating Appointment Setting Interface0
Semi-automatic annotation of the UCU accents speech corpus0
Towards Multilingual Conversations in the Medical Domain: Development of Multilingual Medical Data and A Network-based ASR System0
Speech Recognition Web Services for Dutch0
A Toolkit for Efficient Learning of Lexical Units for Speech RecognitionCode0
Human annotation of ASR error regions: Is ``gravity'' a sharable concept for human annotators?0
Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license0
ASR-based CALL systems and learner speech data: new resources and opportunities for research and development in second language learning0
Turkish Resources for Visual Word Recognition0
TUKE-BNews-SK: Slovak Broadcast News Corpus Construction and Evaluation0
CORILGA: a Galician Multilevel Annotated Speech Corpus for Linguistic Analysis0
HESITA(te) in Portuguese0
The DIRHA simulated corpus0
A New Form of Humor --- Mapping Constraint-Based Computational Morphologies to a Finite-State Representation0
Free Acoustic and Language Models for Large Vocabulary Continuous Speech Recognition in Swedish0
Euronews: a multilingual speech corpus for ASR0
Development of a TV Broadcasts Speech Recognition System for Qatari Arabic0
Multimodal Corpora for Silent Speech Interaction0
The Nijmegen Corpus of Casual Czech0
The EASR Corpora of European Portuguese, French, Hungarian and Polish Elderly Speech0
A Corpus of Spontaneous Speech in Lectures: The KIT Lecture Corpus for Spoken Language Processing and Translation0
GRASS: the Graz corpus of Read And Spontaneous Speech0
Computer-Aided Quality Assurance of an Icelandic Pronunciation Dictionary0
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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