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 50015050 of 6433 papers

TitleStatusHype
V-Cloak: Intelligibility-, Naturalness- & Timbre-Preserving Real-Time Voice Anonymization0
Vectorization of hypotheses and speech for faster beam search in encoder decoder-based speech recognition0
Very Deep Multilingual Convolutional Neural Networks for LVCSR0
Very Deep Self-Attention Networks for End-to-End Speech Recognition0
ViCocktail: Automated Multi-Modal Data Collection for Vietnamese Audio-Visual Speech Recognition0
ViDA-MAN: Visual Dialog with Digital Humans0
Video-Based Action Recognition Using Rate-Invariant Analysis of Covariance Trajectories0
VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing0
Video Super Resolution Based on Deep Learning: A Comprehensive Survey0
VietASR: Achieving Industry-level Vietnamese ASR with 50-hour labeled data and Large-Scale Speech Pretraining0
VietMed: A Dataset and Benchmark for Automatic Speech Recognition of Vietnamese in the Medical Domain0
VILAS: Exploring the Effects of Vision and Language Context in Automatic Speech Recognition0
VioLA: Unified Codec Language Models for Speech Recognition, Synthesis, and Translation0
ViraPart: A Text Refinement Framework for Automatic Speech Recognition and Natural Language Processing Tasks in Persian0
Virtuoso: Massive Multilingual Speech-Text Joint Semi-Supervised Learning for Text-To-Speech0
Vision as an Interlingua: Learning Multilingual Semantic Embeddings of Untranscribed Speech0
Vision-Guided Robot Hearing0
Visual-Aware Speech Recognition for Noisy Scenarios0
Visual Features for Context-Aware Speech Recognition0
Visual Information Matters for ASR Error Correction0
Visualizing Automatic Speech Recognition -- Means for a Better Understanding?0
Visualizing Deep Neural Networks for Speech Recognition with Learned Topographic Filter Maps0
Visualizing Group Dynamics based on Multiparty Meeting Understanding0
Visually Guided Self Supervised Learning of Speech Representations0
Visual-Only Recognition of Normal, Whispered and Silent Speech0
VisualSpeaker: Visually-Guided 3D Avatar Lip Synthesis0
Visual Speech Recognition0
Visual speech recognition: aligning terminologies for better understanding0
Visual Speech Recognition in a Driver Assistance System0
Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System0
Visual Subtitles for Internet Videos0
Visual Summarization of Scholarly Videos using Word Embeddings and Keyphrase Extraction0
Visual Words for Automatic Lip-Reading0
Voice Activity Detection using Temporal Characteristics of Autocorrelation Lag and Maximum Spectral Amplitude in Sub-bands0
Voice based self help System: User Experience Vs Accuracy0
VOICE CONTROL ROBOT USING ARDUINO MANAGEMENT SYSTEM PROJECT.0
Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer0
Voice Conversion Can Improve ASR in Very Low-Resource Settings0
Voice Conversion Using Sequence-to-Sequence Learning of Context Posterior Probabilities0
VoiceMoji: A Novel On-Device Pipeline for Seamless Emoji Insertion in Dictation0
Voice Privacy with Smart Digital Assistants in Educational Settings0
Voice Quality and Pitch Features in Transformer-Based Speech Recognition0
Voice Query Auto Completion0
Voltage-Driven Domain-Wall Motion based Neuro-Synaptic Devices for Dynamic On-line Learning0
VOTE400(Voide Of The Elderly 400 Hours): A Speech Dataset to Study Voice Interface for Elderly-Care0
VoxArabica: A Robust Dialect-Aware Arabic Speech Recognition System0
VoxHakka: A Dialectally Diverse Multi-speaker Text-to-Speech System for Taiwanese Hakka0
Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation tasks0
VQ-CTAP: Cross-Modal Fine-Grained Sequence Representation Learning for Speech Processing0
WaBERT: A Low-resource End-to-end Model for Spoken Language Understanding and Speech-to-BERT Alignment0
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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