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 Modeling Using a Shallow CNN-HTSVM Architecture0
A Variational EM Method for Pole-Zero Modeling of Speech with Mixed Block Sparse and Gaussian Excitation0
Comparison of Time-Frequency Representations for Environmental Sound Classification using Convolutional Neural Networks0
Automatic Quality Estimation for ASR System Combination0
Analysis of dropout learning regarded as ensemble learning0
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR ModelsCode0
3D Convolutional Neural Networks for Cross Audio-Visual Matching RecognitionCode0
An online sequence-to-sequence model for noisy speech recognition0
An Overview of Multi-Task Learning in Deep Neural NetworksCode0
Modelling prosodic structure using Artificial Neural Networks0
Acoustic data-driven lexicon learning based on a greedy pronunciation selection framework0
End-to-end neural networks for subvocal speech recognition0
Optimizing expected word error rate via sampling for speech recognition0
Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LMCode0
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
ASR error management for improving spoken language understanding0
Semi-Supervised Model Training for Unbounded Conversational Speech Recognition0
Fast-Slow Recurrent Neural NetworksCode0
Anti-spoofing Methods for Automatic SpeakerVerification System0
Local Monotonic Attention Mechanism for End-to-End Speech and Language Processing0
Towards a Knowledge Graph based Speech Interface0
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
Speech-Based Visual Question AnsweringCode0
M\'alr\'omur: A Manually Verified Corpus of Recorded Icelandic Speech0
Deep Learning in the Automotive Industry: Applications and Tools0
Intelligent Personal Assistant with Knowledge Navigation0
Automatic Viseme Vocabulary Construction to Enhance Continuous Lip-reading0
Towards Estimating the Upper Bound of Visual-Speech Recognition: The Visual Lip-Reading Feasibility Database0
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
Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition0
On Generalization and Regularization in Deep Learning0
Online and Linear-Time Attention by Enforcing Monotonic AlignmentsCode0
Real-Time Keyword Extraction from Conversations0
An enhanced automatic speech recognition system for Arabic0
An experimental analysis of Noise-Contrastive Estimation: the noise distribution matters0
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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