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 55015550 of 6433 papers

TitleStatusHype
A Morphological Analyzer for Shipibo-Konibo0
Amortized Neural Networks for Low-Latency Speech Recognition0
AMPS: ASR with Multimodal Paraphrase Supervision0
A Multi-Biometrics for Twins Identification Based Speech and Ear0
A Multi-Dialectal Dataset for German Dialect ASR and Dialect-to-Standard Speech Translation0
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation0
Multilingual Approach to Joint Speech and Accent Recognition with DNN-HMM Framework0
A Multimodal Approach to Device-Directed Speech Detection with Large Language Models0
A Multimodal Corpus of Rapid Dialogue Games0
A Multimodal Dense Retrieval Approach for Speech-Based Open-Domain Question Answering0
A Multimodal Framework for Video Ads Understanding0
A Multi Purpose and Large Scale Speech Corpus in Persian and English for Speaker and Speech Recognition: the DeepMine Database0
A Multi-Purpose Audio-Visual Corpus for Multi-Modal Persian Speech Recognition: the Arman-AV Dataset0
A Multiscale Autoencoder (MSAE) Framework for End-to-End Neural Network Speech Enhancement0
A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition0
An adaptable task-oriented dialog system for stand-alone embedded devices0
An Adapter based Multi-label Pre-training for Speech Separation and Enhancement0
An Adapter-Based Unified Model for Multiple Spoken Language Processing Tasks0
An Adaptive Psychoacoustic Model for Automatic Speech Recognition0
An affective computational model for machine consciousness0
An Alternative to Low-level-Sychrony-Based Methods for Speech Detection0
Analyse de l'effet de la r\'everb\'eration sur la reconnaissance automatique de la parole (Analyzing how reverberation affects Automatic Speech Recognition)0
Analysis and Tuning of a Voice Assistant System for Dysfluent Speech0
Analysis of Dropout in Online Learning0
Analysis of dropout learning regarded as ensemble learning0
Analysis of Dysarthric Speech using Distinctive Feature Recognition0
Analysis of GlobalPhone and Ethiopian Languages Speech Corpora for Multilingual ASR0
An Analysis of Semantically-Aligned Speech-Text Embeddings0
Analysis of Manipuri Tones in ManiTo: A Tonal Contrast Database0
Analysis of Multilingual Sequence-to-Sequence speech recognition systems0
Analysis of Phonetic Transcription for Danish Automatic Speech Recognition0
Analysis of Self-Attention Head Diversity for Conformer-based Automatic Speech Recognition0
Analysis of Visual Features for Continuous Lipreading in Spanish0
Analyzing Accuracy Loss in Randomized Smoothing Defenses0
Analyzing ASR pretraining for low-resource speech-to-text translation0
Analyzing deep CNN-based utterance embeddings for acoustic model adaptation0
Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition0
Analyzing Speech Unit Selection for Textless Speech-to-Speech Translation0
Analyzing the factors affecting usefulness of Self-Supervised Pre-trained Representations for Speech Recognition0
Analyzing the Importance of Blank for CTC-Based Knowledge Distillation0
Analyzing the Performance of Automatic Speech Recognition for Ageing Voice: Does it Correlate with Dependency Level?0
Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer0
Analyzing the Robustness of Unsupervised Speech Recognition0
Analyzing Utility of Visual Context in Multimodal Speech Recognition Under Noisy Conditions0
An analysis of deep neural networks for predicting trends in time series data0
An analysis of degenerating speech due to progressive dysarthria on ASR performance0
An analysis of incorporating an external language model into a sequence-to-sequence model0
An Application for Building a Polish Telephone Speech Corpus0
An Approach to Improve Robustness of NLP Systems against ASR Errors0
An ASR-Based Tutor for Learning to Read: How to Optimize Feedback to First Graders0
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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