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 24012450 of 6433 papers

TitleStatusHype
Exploring Self-supervised Pre-trained ASR Models For Dysarthric and Elderly Speech Recognition0
Cascade RNN-Transducer: Syllable Based Streaming On-device Mandarin Speech Recognition with a Syllable-to-Character Converter0
Exploring Speech Enhancement for Low-resource Speech Synthesis0
Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition0
Exploring Speech Recognition, Translation, and Understanding with Discrete Speech Units: A Comparative Study0
Exploring Spoken Language Identification Strategies for Automatic Transcription of Multilingual Broadcast and Institutional Speech0
CASS-NAT: CTC Alignment-based Single Step Non-autoregressive Transformer for Speech Recognition0
Exploring SSL Discrete Tokens for Multilingual ASR0
Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models0
Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation0
Exploring the Effect of Dialect Mismatched Language Models in Telugu Automatic Speech Recognition0
Exploring the Impact of Data Quantity on ASR in Extremely Low-resource Languages0
Exploring the Integration of E2E ASR and Pronunciation Modeling for English Mispronunciation Detection0
Exploring the Integration of Large Language Models into Automatic Speech Recognition Systems: An Empirical Study0
A Configurable Multilingual Model is All You Need to Recognize All Languages0
Fast Labeling and Transcription with the Speechalyzer Toolkit0
Ensemble of Jointly Trained Deep Neural Network-Based Acoustic Models for Reverberant Speech Recognition0
Exploring the Role of Audio in Video Captioning0
Exploring Transfer Learning For End-to-End Spoken Language Understanding0
Exploring Transformers for Large-Scale Speech Recognition0
CEASR: A Corpus for Evaluating Automatic Speech Recognition0
Exploring Turkish Speech Recognition via Hybrid CTC/Attention Architecture and Multi-feature Fusion Network0
Ensemble Machine Learning Model for Inner Speech Recognition: A Subject-Specific Investigation0
Exploring wav2vec 2.0 on speaker verification and language identification0
Exploring WavLM Back-ends for Speech Spoofing and Deepfake Detection0
Exploring WavLM on Speech Enhancement0
使用詞向量表示與概念資訊於中文大詞彙連續語音辨識之語言模型調適(Exploring Word Embedding and Concept Information for Language Model Adaptation in Mandarin Large Vocabulary Continuous Speech Recognition) [In Chinese]0
Exponentially Decaying Bag-of-Words Input Features for Feed-Forward Neural Network in Statistical Machine Translation0
Exponential Moving Average Model in Parallel Speech Recognition Training0
Chain-of-Thought Prompting for Speech Translation0
Extended Graph Temporal Classification for Multi-Speaker End-to-End ASR0
Extending Recurrent Neural Aligner for Streaming End-to-End Speech Recognition in Mandarin0
Extending RNN-T-based speech recognition systems with emotion and language classification0
Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition0
Extension of hidden markov model for recognizing large vocabulary of sign language0
Extensions of the Sign Language Recognition and Translation Corpus RWTH-PHOENIX-Weather0
Extracting Biomedical Entities from Noisy Audio Transcripts0
Extracting Domain Invariant Features by Unsupervised Learning for Robust Automatic Speech Recognition0
Extracting Linguistic Knowledge from Speech: A Study of Stop Realization in 5 Romance Languages0
Extracting Weighted Language Lexicons from Wikipedia0
Extraction de mots clefs dans des vid\'eos Web par Analyse Latente de Dirichlet (LDA-based tagging of Web videos) [in French]0
Extraction of unmarked quotations in Newspapers0
Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models0
Extrinsic Evaluation of Dialog State Tracking and Predictive Metrics for Dialog Policy Optimization0
F0 Modeling In Hmm-Based Speech Synthesis System Using Deep Belief Network0
Face-Dubbing++: Lip-Synchronous, Voice Preserving Translation of Videos0
Facetron: A Multi-speaker Face-to-Speech Model based on Cross-modal Latent Representations0
Factored Language Model based on Recurrent Neural Network0
Factorised Speaker-environment Adaptive Training of Conformer Speech Recognition Systems0
Ensemble knowledge distillation of self-supervised speech models0
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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