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 47014750 of 6433 papers

TitleStatusHype
On the Choice of Modeling Unit for Sequence-to-Sequence Speech RecognitionCode0
Using multi-task learning to improve the performance of acoustic-to-word and conventional hybrid models0
Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM0
Harnessing GANs for Zero-shot Learning of New Classes in Visual Speech RecognitionCode0
A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition0
Weighted-Sampling Audio Adversarial Example Attack0
Discovery of Important Subsequences in Electrocardiogram Beats Using the Nearest Neighbour Algorithm0
Progressive Label Distillation: Learning Input-Efficient Deep Neural Networks0
Self-Attention Networks for Connectionist Temporal Classification in Speech RecognitionCode0
Overfitting Mechanism and Avoidance in Deep Neural Networks0
Predicting Performance using Approximate State Space Model for Liquid State Machines0
A Survey of the Recent Architectures of Deep Convolutional Neural Networks0
Bonseyes AI Pipeline -- bringing AI to you. End-to-end integration of data, algorithms and deployment tools0
Phoneme-Based Persian Speech Recognition0
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network0
Deep Neural Network Approximation Theory0
Improving noise robustness of automatic speech recognition via parallel data and teacher-student learning0
Speaker Adaptation for End-to-End CTC Models0
A Comprehensive Survey on Graph Neural NetworksCode1
Deep Speech Enhancement for Reverberated and Noisy Signals using Wide Residual Networks0
A Deep Learning Approach for Similar Languages, Varieties and Dialects0
Exploring spectro-temporal features in end-to-end convolutional neural networksCode0
Improving the Interpretability of Deep Neural Networks with Knowledge Distillation0
Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize0
Noise Flooding for Detecting Audio Adversarial Examples Against Automatic Speech Recognition0
Privacy-Preserving Collaborative Deep Learning with Unreliable Participants0
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching0
Pansori: ASR Corpus Generation from Open Online Video ContentsCode0
An Empirical Analysis of Deep Audio-Visual Models for Speech Recognition0
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search0
SQuantizer: Simultaneous Learning for Both Sparse and Low-precision Neural Networks0
Streaming Voice Query Recognition using Causal Convolutional Recurrent Neural Networks0
Adam Induces Implicit Weight Sparsity in Rectifier Neural Networks0
wav2letter++: The Fastest Open-source Speech Recognition SystemCode3
Multiple topic identification in human/human conversations0
The Recognition Of Persian Phonemes Using PPNet0
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search0
Fully Convolutional Speech Recognition0
Speech and Speaker Recognition from Raw Waveform with SincNetCode1
Impact of Data Normalization on Deep Neural Network for Time Series Forecasting0
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs0
Scalable language model adaptation for spoken dialogue systems0
To Reverse the Gradient or Not: An Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition0
The USTC-NEL Speech Translation system at IWSLT 20180
End-to-end contextual speech recognition using class language models and a token passing decoder0
Auto-tuning TensorFlow Threading Model for CPU Backend0
使用長短期記憶類神經網路建構中文語音辨識器之研究 (A Study on Mandarin Speech Recognition using Long Short- Term Memory Neural Network)0
結合鑑別式訓練與模型合併於半監督式語音辨識之研究 (Leveraging Discriminative Training and Model Combination for Semi-supervised Speech Recognition)0
Development of Natural Language Processing Tools for Cook Islands M\=aori0
Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices0
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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