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 41514200 of 6433 papers

TitleStatusHype
Semi-supervised acoustic and language model training for English-isiZulu code-switched speech recognition0
A Swiss German Dictionary: Variation in Speech and Writing0
Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement0
Serialized Output Training for End-to-End Overlapped Speech Recognition0
Can you hear me now? Sensitive comparisons of human and machine perception0
Training for Speech Recognition on Coprocessors0
Low Latency ASR for Simultaneous Speech Translation0
High Performance Sequence-to-Sequence Model for Streaming Speech Recognition0
A Joint Approach to Compound Splitting and Idiomatic Compound Detection0
Language Technology Programme for Icelandic 2019-2023Code0
Techniques for Vocabulary Expansion in Hybrid Speech Recognition Systems0
High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model0
Deliberation Model Based Two-Pass End-to-End Speech Recognition0
ASR Error Correction and Domain Adaptation Using Machine Translation0
Hybrid Autoregressive Transducer (hat)0
Improving noise robust automatic speech recognition with single-channel time-domain enhancement network0
Deep Neural Networks for Automatic Speech Processing: A Survey from Large Corpora to Limited Data0
Toward Cross-Domain Speech Recognition with End-to-End Models0
Morfessor EM+Prune: Improved Subword Segmentation with Expectation Maximization and PruningCode1
Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep Visual Speech RecognitionCode1
Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection0
Untangling in Invariant Speech RecognitionCode1
Improving Uyghur ASR systems with decoders using morpheme-based language models0
Convo: What does conversational programming need? An exploration of machine learning interface design0
Analyzing Accuracy Loss in Randomized Smoothing Defenses0
Natural Language Processing Advancements By Deep Learning: A SurveyCode1
Open Set Modulation Recognition Based on Dual-Channel LSTM Model0
SkinAugment: Auto-Encoding Speaker Conversions for Automatic Speech TranslationCode0
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks0
ParasNet: Fast Parasites Detection with Neural Networks0
A Density Ratio Approach to Language Model Fusion in End-To-End Automatic Speech Recognition0
Universal Phone Recognition with a Multilingual Allophone SystemCode1
A.I. based Embedded Speech to Text Using Deepspeech0
Semi-Supervised Speech Recognition via Local Prior MatchingCode3
Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition0
Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech RecognitionCode1
Re-synchronization using the Hand Preceding Model for Multi-modal Fusion in Automatic Continuous Cued Speech Recognition0
Attention-based ASR with Lightweight and Dynamic Convolutions0
Imputer: Sequence Modelling via Imputation and Dynamic ProgrammingCode1
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition0
Gradient-Adjusted Neuron Activation Profiles for Comprehensive Introspection of Convolutional Speech Recognition Models0
Rnn-transducer with language bias for end-to-end Mandarin-English code-switching speech recognition0
Uncertainty Estimation in Autoregressive Structured Prediction0
Speech Corpus of Ainu Folklore and End-to-end Speech Recognition for Ainu Language0
Small energy masking for improved neural network training for end-to-end speech recognition0
Speech Enhancement using Self-Adaptation and Multi-Head Self-Attention0
Integrating Discrete and Neural Features via Mixed-feature Trans-dimensional Random Field Language Models0
Unsupervised Speaker Adaptation using Attention-based Speaker Memory for End-to-End ASR0
Looking Enhances Listening: Recovering Missing Speech Using Images0
Pre-Training for Query Rewriting in A Spoken Language Understanding System0
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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