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 18011850 of 6433 papers

TitleStatusHype
Development of a TV Broadcasts Speech Recognition System for Qatari Arabic0
Development of Automatic Speech Recognition for the Documentation of Cook Islands Māori0
Development of Hybrid Algorithm for Automatic Extraction of Multiword Expressions from Monolingual and Parallel Corpus of English and Punjabi0
Development of Natural Language Processing Tools for Cook Islands M\=aori0
Development of Speech corpora for different Speech Recognition tasks in Malayalam language0
Development of Text and Speech database for Hindi and Indian English specific to Mobile Communication environment0
Clean Label Attacks against SLU Systems0
Device Directedness with Contextual Cues for Spoken Dialog Systems0
Cleanformer: A multichannel array configuration-invariant neural enhancement frontend for ASR in smart speakers0
Device-directed Utterance Detection0
DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants0
DFSMN-SAN with Persistent Memory Model for Automatic Speech Recognition0
DiaBiz – an Annotated Corpus of Polish Call Center Dialogs0
Automatic Speech Recognition and Topic Identification for Almost-Zero-Resource Languages0
Are disentangled representations all you need to build speaker anonymization systems?0
Diacritic Recognition Performance in Arabic ASR0
Diagonal State Space Augmented Transformers for Speech Recognition0
Dialect Adaptation and Data Augmentation for Low-Resource ASR: TalTech Systems for the MADASR 2023 Challenge0
Class LM and word mapping for contextual biasing in End-to-End ASR0
Classist Tools: Social Class Correlates with Performance in NLP0
Dialect Identification through Adversarial Learning and Knowledge Distillation on Romanian BERT0
Dialect-Specific Models for Automatic Speech Recognition of African American Vernacular English0
Dialog act guided contextual adapter for personalized speech recognition0
Dialog-context aware end-to-end speech recognition0
Dialog Generation Using Multi-Turn Reasoning Neural Networks0
Dialog state tracking, a machine reading approach using Memory Network0
Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network0
Dialogue Act Segmentation for Vietnamese Human-Human Conversational Texts0
Dialogue-Based Simulation For Cultural Awareness Training0
Dialogue Management based on Multi-domain Corpus0
Dialogue Strategy Learning in Healthcare: A Systematic Approach for Learning Dialogue Models from Data0
Dialogue Systems Can Generate Appropriate Responses without the Use of Question Marks? -- Investigation of the Effects of Question Marks on Dialogue Systems0
A Recorded Debating Dataset0
Diarization-Aware Multi-Speaker Automatic Speech Recognition via Large Language Models0
Adversarial Training for Multilingual Acoustic Modeling0
Distributed Hessian-Free Optimization for Deep Neural Network0
Automatic speech recognition for launch control center communication using recurrent neural networks with data augmentation and custom language model0
Differences in User Responses to a Wizard-of-Oz versus Automated System0
Automatic Speech Recognition for Non-Native English: Accuracy and Disfluency Handling0
Differentiable Pooling for Unsupervised Acoustic Model Adaptation0
Classifying Dialogue Acts in Multi-party Live Chats0
Differentially Private Speaker Anonymization0
Classifying Arab Names Geographically0
Digits micro-model for accurate and secure transactions0
Dilated U-net based approach for multichannel speech enhancement from First-Order Ambisonics recordings0
Automatic Speech Recognition for the Ika Language0
A Real-time Robot-based Auxiliary System for Risk Evaluation of COVID-19 Infection0
Direct Acoustics-to-Word Models for English Conversational Speech Recognition0
Directed Speech Separation for Automatic Speech Recognition of Long Form Conversational Speech0
Classification of Closely Related Sub-dialects of Arabic Using Support-Vector Machines0
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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