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 54015450 of 6433 papers

TitleStatusHype
Acoustic data-driven lexicon learning based on a greedy pronunciation selection framework0
End-to-end neural networks for subvocal speech recognition0
Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LMCode0
Optimizing expected word error rate via sampling for speech recognition0
Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition0
Transfer Learning for Speech Recognition on a BudgetCode0
Using of heterogeneous corpora for training of an ASR system0
Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments0
DNN-based uncertainty estimation for weighted DNN-HMM ASR0
Semi-Supervised Model Training for Unbounded Conversational Speech Recognition0
ASR error management for improving spoken language understanding0
Anti-spoofing Methods for Automatic SpeakerVerification System0
Fast-Slow Recurrent Neural NetworksCode0
Towards a Knowledge Graph based Speech Interface0
Local Monotonic Attention Mechanism for End-to-End Speech and Language Processing0
Use of Knowledge Graph in Rescoring the N-Best List in Automatic Speech Recognition0
Voltage-Driven Domain-Wall Motion based Neuro-Synaptic Devices for Dynamic On-line Learning0
Learning Hard Alignments with Variational Inference0
Talking to Your TV: Context-Aware Voice Search with Hierarchical Recurrent Neural Networks0
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGACode0
A Generative Model of a Pronunciation Lexicon for Hindi0
A comprehensive study of batch construction strategies for recurrent neural networks in MXNet0
Acoustic Model Compression with MAP adaptation0
M\'alr\'omur: A Manually Verified Corpus of Recorded Icelandic Speech0
Speech-Based Visual Question AnsweringCode0
Deep Learning in the Automotive Industry: Applications and Tools0
Intelligent Personal Assistant with Knowledge Navigation0
Towards Estimating the Upper Bound of Visual-Speech Recognition: The Visual Lip-Reading Feasibility Database0
Automatic Viseme Vocabulary Construction to Enhance Continuous Lip-reading0
Mobile Keyboard Input Decoding with Finite-State Transducers0
ApproxDBN: Approximate Computing for Discriminative Deep Belief Networks0
Deep Multimodal Representation Learning from Temporal Data0
Voice Conversion Using Sequence-to-Sequence Learning of Context Posterior Probabilities0
An Outlyingness Matrix for Multivariate Functional Data Classification0
On Generalization and Regularization in Deep Learning0
Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition0
Online and Linear-Time Attention by Enforcing Monotonic AlignmentsCode0
Toward a Web-based Speech Corpus for Algerian Dialectal Arabic Varieties0
A Code-Switching Corpus of Turkish-German Conversations0
An enhanced automatic speech recognition system for Arabic0
``Oh, I've Heard That Before'': Modelling Own-Dialect Bias After Perceptual Learning by Weighting Training Data0
Identifying dialects with textual and acoustic cues0
An Unsupervised Speaker Clustering Technique based on SOM and I-vectors for Speech Recognition Systems0
A Quantitative Study of Data in the NLP community0
Gender and Dialect Bias in YouTube's Automatic Captions0
QCRI Live Speech Translation System0
The SUMMA Platform Prototype0
Continuous multilinguality with language vectors0
CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface0
Real-Time Keyword Extraction from Conversations0
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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
9Gated ConvNetsWord Error Rate (WER)4.8Unverified
10HMM-TDNN + iVectorsWord 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
7HMM-TDNN + pNorm + speed up/down speechPercentage error12.9Unverified
8DNN MPEPercentage error12.9Unverified
9DNN MMIPercentage error12.9Unverified
10CNN + Bi-RNN + CTC (speech to letters), 25.9% WER if trainedonlyon SWBPercentage 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
6TC-DNN-BLSTM-DNNWord Error Rate (WER)3.5Unverified
7Convolutional Speech RecognitionWord 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