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 34013450 of 6433 papers

TitleStatusHype
Multi-user VoiceFilter-Lite via Attentive Speaker Embedding0
Dual Causal/Non-Causal Self-Attention for Streaming End-to-End Speech Recognition0
Word-Free Spoken Language Understanding for Mandarin-Chinese0
SmarTerp: A CAI System to Support Simultaneous Interpreters in Real-Time0
ESPnet-ST IWSLT 2021 Offline Speech Translation System0
StableEmit: Selection Probability Discount for Reducing Emission Latency of Streaming Monotonic Attention ASR0
Pretext Tasks selection for multitask self-supervised speech representation learningCode0
Improving Named Entity Recognition in Spoken Dialog Systems by Context and Speech Pattern Modeling0
Projection of Turn Completion in Incremental Spoken Dialogue Systems0
Interactive decoding of words from visual speech recognition models0
On joint training with interfaces for spoken language understanding0
IMS' Systems for the IWSLT 2021 Low-Resource Speech Translation Task0
Sequence-level Confidence Classifier for ASR Utterance Accuracy and Application to Acoustic Models0
Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding0
Use of Machine Learning Technique to maximize the signal over background for H ττ0
On a novel training algorithm for sequence-to-sequence predictive recurrent networks0
Building Intelligent Autonomous Navigation Agents0
Lexical Access Model for Italian -- Modeling human speech processing: identification of words in running speech toward lexical access based on the detection of landmarks and other acoustic cues to features0
QASR: QCRI Aljazeera Speech Resource -- A Large Scale Annotated Arabic Speech Corpus0
Where are we in semantic concept extraction for Spoken Language Understanding?0
Mixtures of Deep Neural Experts for Automated Speech Scoring0
Zero-Shot Joint Modeling of Multiple Spoken-Text-Style Conversion Tasks using Switching Tokens0
A Discriminative Entity-Aware Language Model for Virtual Assistants0
How to Reach Real-Time AI on Consumer Devices? Solutions for Programmable and Custom Architectures0
Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling0
Learning From the Master: Distilling Cross-Modal Advanced Knowledge for Lip Reading0
Low Resource German ASR with Untranscribed Data Spoken by Non-native Children -- INTERSPEECH 2021 Shared Task SPAPL System0
An Improved Single Step Non-autoregressive Transformer for Automatic Speech Recognition0
On-Device Personalization of Automatic Speech Recognition Models for Disordered Speech0
Analysis and Tuning of a Voice Assistant System for Dysfluent Speech0
Multi-mode Transformer Transducer with Stochastic Future Context0
Layer Pruning on Demand with Intermediate CTC0
Semantic sentence similarity: size does not always matter0
Multi-Speaker ASR Combining Non-Autoregressive Conformer CTC and Conditional Speaker ChainCode0
Collaborative Training of Acoustic Encoders for Speech Recognition0
Best Practices for Noise-Based Augmentation to Improve the Performance of Deployable Speech-Based Emotion Recognition Systems0
Momentum Pseudo-Labeling for Semi-Supervised Speech RecognitionCode0
Topic Classification on Spoken Documents Using Deep Acoustic and Linguistic Features0
A Study into Pre-training Strategies for Spoken Language Understanding on Dysarthric Speech0
ASR Adaptation for E-commerce Chatbots using Cross-Utterance Context and Multi-Task Language Modeling0
Dialectal Speech Recognition and Translation of Swiss German Speech to Standard German Text: Microsoft's Submission to SwissText 20210
E2E-based Multi-task Learning Approach to Joint Speech and Accent Recognition0
Multi-channel Opus compression for far-field automatic speech recognition with a fixed bitrate budget0
Using heterogeneity in semi-supervised transcription hypotheses to improve code-switched speech recognition0
Dynamic Gradient Aggregation for Federated Domain Adaptation0
Kaizen: Continuously improving teacher using Exponential Moving Average for semi-supervised speech recognition0
Audio Attacks and Defenses against AED Systems -- A Practical Study0
SynthASR: Unlocking Synthetic Data for Speech Recognition0
Assessing the Use of Prosody in Constituency Parsing of Imperfect TranscriptsCode0
CoDERT: Distilling Encoder Representations with Co-learning for Transducer-based Speech Recognition0
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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