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 58515900 of 6433 papers

TitleStatusHype
Personalizing ASR for Dysarthric and Accented Speech with Limited DataCode0
Investigating the Effects of Word Substitution Errors on Sentence EmbeddingsCode0
SummaryMixing: A Linear-Complexity Alternative to Self-Attention for Speech Recognition and UnderstandingCode0
Very Deep Convolutional Networks for End-to-End Speech RecognitionCode0
Personal VAD: Speaker-Conditioned Voice Activity DetectionCode0
PersonaTAB: Predicting Personality Traits using Textual, Acoustic, and Behavioral Cues in Fully-Duplex Speech DialogsCode0
Robust Training under Linguistic AdversityCode0
Anti-Transfer Learning for Task Invariance in Convolutional Neural Networks for Speech ProcessingCode0
Investigating Generative Adversarial Networks based Speech Dereverberation for Robust Speech RecognitionCode0
Robust Unstructured Knowledge Access in Conversational Dialogue with ASR ErrorsCode0
Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and ChallengesCode0
Phone Features Improve Speech TranslationCode0
RoDia: A New Dataset for Romanian Dialect Identification from SpeechCode0
Supervised Acoustic Embeddings And Their Transferability Across LanguagesCode0
Intrinsic evaluation of language models for code-switchingCode0
Interpersonal Relationship Labels for the CALLHOME CorpusCode0
KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube VideosCode0
Kurdish (Sorani) Speech to Text: Presenting an Experimental DatasetCode0
Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for ConversationsCode0
Very Deep Convolutional Neural Networks for Robust Speech RecognitionCode0
Unsupervised Submodular Rank Aggregation on Score-based PermutationsCode0
Delayed Memory Unit: Modelling Temporal Dependency Through Delay GateCode0
Automatic Dialect Detection in Arabic Broadcast SpeechCode0
Two-stage Textual Knowledge Distillation for End-to-End Spoken Language UnderstandingCode0
XLSR53 Wav2Vec2 Portuguese by Orlem SantosCode0
Integrated Semantic and Phonetic Post-correction for Chinese Speech RecognitionCode0
Explainability of Speech Recognition Transformers via Gradient-based Attention VisualizationCode0
Instant One-Shot Word-Learning for Context-Specific Neural Sequence-to-Sequence Speech RecognitionCode0
ROSE: A Recognition-Oriented Speech Enhancement Framework in Air Traffic Control Using Multi-Objective LearningCode0
Rotational Unit of MemoryCode0
Bayesian Recurrent Units and the Forward-Backward AlgorithmCode0
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural NetworksCode0
Deep word embeddings for visual speech recognitionCode0
Phonemic Transcription of Low-Resource Tonal LanguagesCode0
Connectionist Temporal Classification with Maximum Entropy RegularizationCode0
Phonetically-Oriented Word Error Alignment for Speech Recognition Error Analysis in Speech TranslationCode0
Language-Agnostic Syllabification with Neural Sequence LabelingCode0
Indian EmoSpeech Command Dataset: A dataset for emotion based speech recognition in the wildCode0
Multilingual Bottleneck Features for Improving ASR Performance of Code-Switched Speech in Under-Resourced LanguagesCode0
Language Bootstrapping: Learning Word Meanings From Perception-Action AssociationCode0
Language Complexity and Speech Recognition Accuracy: Orthographic Complexity Hurts, Phonological Complexity Doesn'tCode0
Multilingual bottleneck features for subword modeling in zero-resource languagesCode0
Bayesian Neural Network Language Modeling for Speech RecognitionCode0
Language Identification Using Deep Convolutional Recurrent Neural NetworksCode0
A Simple Way to Initialize Recurrent Networks of Rectified Linear UnitsCode0
Surprisal-Triggered Conditional Computation with Neural NetworksCode0
Towards Temporally Explainable Dysarthric Speech Clarity AssessmentCode0
SURT 2.0: Advances in Transducer-based Multi-talker Speech RecognitionCode0
Effects of Layer Freezing on Transferring a Speech Recognition System to Under-resourced LanguagesCode0
Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance GapsCode0
Show:102550
← PrevPage 118 of 129Next →

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