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 58515900 of 6433 papers

TitleStatusHype
Augmenting Automatic Speech Recognition Models with Disfluency Detection0
Augmenting Bottleneck Features of Deep Neural Network Employing Motor State for Speech Recognition at Humanoid Robots0
Augmenting conformers with structured state-space sequence models for online speech recognition0
Augmenting Images for ASR and TTS through Single-loop and Dual-loop Multimodal Chain Framework0
Augmenting Polish Automatic Speech Recognition System With Synthetic Data0
Augmenting Translation Models with Simulated Acoustic Confusions for Improved Spoken Language Translation0
A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes0
A Unified Framework of Constrained Robust Submodular Optimization with Applications0
A unified multichannel far-field speech recognition system: combining neural beamforming with attention based end-to-end model0
A Unified Neural Architecture for Joint Dialog Act Segmentation and Recognition in Spoken Dialog System0
A Unified Transformer-based Framework for Duplex Text Normalization0
A Universally-Deployable ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement, and Voice Separation0
A user study to compare two conversational assistants designed for people with hearing impairments0
Auto-Landmark: Acoustic Landmark Dataset and Open-Source Toolkit for Landmark Extraction0
Automated Cross-language Intelligibility Analysis of Parkinson's Disease Patients Using Speech Recognition Technologies0
Automated Essay Scoring Based on Finite State Transducer: towards ASR Transcription of Oral English Speech0
Automated Preamble Detection in Dictated Medical Reports0
Automated scoring across different modalities0
Automated scoring of speaking items in an assessment for teachers of English as a Foreign Language0
Automated Speaker Independent Visual Speech Recognition: A Comprehensive Survey0
Automated speech audiometry: Can it work using open-source pre-trained Kaldi-NL automatic speech recognition?0
Automated Speech Recognition Technology for Dialogue Interaction with Non-Native Interlocutors0
Automated speech tools for helping communities process restricted-access corpora for language revival efforts0
Automated speech-unit delimitation in spoken learner English0
Automatically Assess Children's Reading Skills0
Automatically building a Tunisian Lexicon for Deverbal Nouns0
Automatically Tailoring Unsupervised Morphological Segmentation to the Language0
Automatic Assessment of Oral Reading Accuracy for Reading Diagnostics0
Automatic assessment of spoken language proficiency of non-native children0
Automatic Classification of Spoken Languages using Diverse Acoustic Features0
Automatic context window composition for distant speech recognition0
Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations0
Automatic Detection of Code-switching Style from Acoustics0
Automatic Documentation of ICD Codes with Far-Field Speech Recognition0
Automatic dysfluency detection in dysarthric speech using deep belief networks0
Automatic Enhancement of LTAG Treebank0
Automatic Estimation of Intelligibility Measure for Consonants in Speech0
Automatic evaluation of spoken summaries: the case of language assessment0
Automatic generation of a 3D sign language avatar on AR glasses given 2D videos of human signers0
Automatic language identity tagging on word and sentence-level in multilingual text sources: a case-study on Luxembourgish0
Automatic Learning of Subword Dependent Model Scales0
Automatic Long Audio Alignment and Confidence Scoring for Conversational Arabic Speech0
Automatic pronunciation assessment for language learners with acoustic-phonetic features0
Automatic Pronunciation Generation by Utilizing a Semi-supervised Deep Neural Networks0
AUTOMATIC PRONUNCIATION MISTAKE DETECTOR PROJECT REPORT0
Automatic Pronunciation Scoring And Mispronunciation Detection Using CMUSphinx0
Automatic Quality Estimation for ASR System Combination0
Automatic recognition and detection of aphasic natural speech0
Automatic recognition of child speech for robotic applications in noisy environments0
Automatic recognition of element classes and boundaries in the birdsong with variable sequences0
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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