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 39013950 of 6433 papers

TitleStatusHype
Rnn-transducer with language bias for end-to-end Mandarin-English code-switching speech recognition0
Roadmap towards Superhuman Speech Understanding using Large Language Models0
ROAR: Reinforcing Original to Augmented Data Ratio Dynamics for Wav2Vec2.0 Based ASR0
Robust Acoustic and Semantic Contextual Biasing in Neural Transducers for Speech Recognition0
Robust ASR Error Correction with Conservative Data Filtering0
Robust Attack Detection Approach for IIoT Using Ensemble Classifier0
Robust Audiovisual Speech Recognition Models with Mixture-of-Experts0
Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training0
Robust Classification using Hidden Markov Models and Mixtures of Normalizing Flows0
Robust Cross-Etiology and Speaker-Independent Dysarthric Speech Recognition0
Robust Domain Adaptation By Augmented Cyclic Adversarial Learning0
Robust end-to-end deep audiovisual speech recognition0
Robustesse et portabilit\'es multilingue et multi-domaines des syst\`emes de compr\'ehension de la parole : les corpus du projet PortMedia (Robustness and portability of spoken language understanding systems among languages and domains : the PORTMEDIA project) [in French]0
Robust Feature Extraction to Utterance Fluctuation of Articulation Disorders Based on Random Projection0
Robust fine-tuning of speech recognition models via model merging: application to disordered speech0
Robustifying automatic speech recognition by extracting slowly varying features0
Robust Multi-channel Speech Recognition using Frequency Aligned Network0
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions0
Robustness of end-to-end Automatic Speech Recognition Models -- A Case Study using Mozilla DeepSpeech0
Robustness of end-to-end Automatic Speech Recognition Models – A Case Study using Mozilla DeepSpeech0
Robustness of Multi-Source MT to Transcription Errors0
Robustness of Speech Separation Models for Similar-pitch Speakers0
Robustness Testing of Data and Knowledge Driven Anomaly Detection in Cyber-Physical Systems0
Robust Neural Machine Translation for Clean and Noisy Speech Transcripts0
Robust Neural Machine Translation with ASR Errors0
Robust Neural Machine Translation with Joint Textual and Phonetic Embedding0
Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems0
Robust Prediction of Punctuation and Truecasing for Medical ASR0
Robust Persian Digit Recognition in Noisy Environments Using Hybrid CNN-BiGRU Model0
ROBUST SPEECH COMMAND RECOGNITION USING LABEL-DRIVEN TIME-FREQUENCY MASKING0
Robust speech recognition using consensus function based on multi-layer networks0
Robust Speech Recognition Using Generative Adversarial Networks0
Robust Speech Recognition with Schrödinger Bridge-Based Speech Enhancement0
Robust Spoken Language Understanding with RL-based Value Error Recovery0
Robust Translation of French Live Speech Transcripts0
Role of Intonation in Scoring Spoken English0
Role of non-linear data processing on speech recognition task in the framework of reservoir computing0
Role-specific Language Models for Processing Recorded Neuropsychological Exams0
Romanization Encoding For Multilingual ASR0
Romanized Arabic Transliteration0
融合外部语言知识的流式越南语语音识别(Streaming Vietnamese Speech Recognition Based on Fusing External Vietnamese Language Knowledge)0
RSC: A Romanian Read Speech Corpus for Automatic Speech Recognition0
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition0
Run-and-back stitch search: novel block synchronous decoding for streaming encoder-decoder ASR0
Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach0
Run-Time Adaptation of Neural Beamforming for Robust Speech Dereverberation and Denoising0
RUSAVIC Corpus: Russian Audio-Visual Speech in Cars0
Russian Stress Prediction using Maximum Entropy Ranking0
RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus0
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud0
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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