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 56515700 of 6433 papers

TitleStatusHype
Off-topic Response Detection for Spontaneous Spoken English Assessment0
My Science Tutor---Learning Science with a Conversational Virtual Tutor0
Joint Word Segmentation and Phonetic Category Induction0
TranscRater: a Tool for Automatic Speech Recognition Quality Estimation0
How to Train Dependency Parsers with Inexact Search for Joint Sentence Boundary Detection and Parsing of Entire Documents0
OpenDial: A Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules0
Unsupervised morph segmentation and statistical language models for vocabulary expansion0
Modeling Concept Dependencies in a Scientific Corpus0
An Open Web Platform for Rule-Based Speech-to-Sign Translation0
Cross-lingual projection for class-based language models0
Detecting Mild Cognitive Impairment by Exploiting Linguistic Information from Transcripts0
N-gram language models for massively parallel devices0
Exponentially Decaying Bag-of-Words Input Features for Feed-Forward Neural Network in Statistical Machine Translation0
Blind phoneme segmentation with temporal prediction errors0
Trainable Frontend For Robust and Far-Field Keyword SpottingCode0
Piecewise convexity of artificial neural networks0
On the efficient representation and execution of deep acoustic models0
DSD: Dense-Sparse-Dense Training for Deep Neural NetworksCode0
Intra-layer Nonuniform Quantization for Deep Convolutional Neural Network0
Single-Channel Multi-Speaker Separation using Deep ClusteringCode1
Sequence Training and Adaptation of Highway Deep Neural Networks0
Estimation de la qualit\'e d'un syst\`eme de reconnaissance de la parole pour une t\^ache de compr\'ehension (Quality estimation of a Speech Recognition System for a Spoken Language Understanding task)0
From Human Language Technology to Human Language Science0
Moving Toward High Precision Dynamical Modelling in Hidden Markov Models0
Generation and Pruning of Pronunciation Variants to Improve ASR Accuracy0
Training LDCRF model on unsegmented sequences using Connectionist Temporal Classification0
NN-grams: Unifying neural network and n-gram language models for Speech Recognition0
A Curriculum Learning Method for Improved Noise Robustness in Automatic Speech Recognition0
A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic Modeling in Speech Recognition0
A segmental framework for fully-unsupervised large-vocabulary speech recognitionCode0
A Nonparametric Bayesian Approach for Spoken Term detection by Example Query0
Graph based manifold regularized deep neural networks for automatic speech recognition0
Spectral decomposition method of dialog state tracking via collective matrix factorization0
Increasing the Interpretability of Recurrent Neural Networks Using Hidden Markov Models0
Automatic Pronunciation Generation by Utilizing a Semi-supervised Deep Neural Networks0
Calibration of Phone Likelihoods in Automatic Speech Recognition0
Training variance and performance evaluation of neural networks in speech0
Dialog state tracking, a machine reading approach using Memory Network0
Distributed Hessian-Free Optimization for Deep Neural Network0
A Spiking Network that Learns to Extract Spike Signatures from Speech Signals0
Temporal Multimodal Learning in Audiovisual Speech Recognition0
Automated scoring across different modalities0
Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies0
Phonological Pun-derstanding0
Using Related Languages to Enhance Statistical Language Models0
Bidirectional RNN for Medical Event Detection in Electronic Health Records0
An Attentional Model for Speech Translation Without Transcription0
DAG-Structured Long Short-Term Memory for Semantic Compositionality0
Lecture Translator - Speech translation framework for simultaneous lecture translation0
Zara The Supergirl: An Empathetic Personality Recognition 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