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
Reduce and Reconstruct: ASR for Low-Resource Phonetic Languages0
Towards Data Distillation for End-to-end Spoken Conversational Question Answering0
Studying the Similarity of COVID-19 Sounds based on Correlation Analysis of MFCC0
Multimodal Speech Recognition with Unstructured Audio Masking0
Non-intrusive speech intelligibility prediction using automatic speech recognition derived measures0
Lightweight End-to-End Speech Recognition from Raw Audio Data Using Sinc-Convolutions0
Exploiting Spectral Augmentation for Code-Switched Spoken Language Identification0
The "Sound of Silence" in EEG -- Cognitive voice activity detection0
Improving Low Resource Code-switched ASR using Augmented Code-switched TTS0
Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling0
A Lightweight Speaker Recognition System Using Timbre Properties0
fairseq S2T: Fast Speech-to-Text Modeling with fairseqCode0
A Clustering-Based Method for Automatic Educational Video Recommendation Using Deep Face-Features of Lecturers0
Transfer Learning and SpecAugment applied to SSVEP Based BCI Classification0
Population Based Training for Data Augmentation and Regularization in Speech Recognition0
Domain Adversarial Neural Networks for Dysarthric Speech Recognition0
Transformer Transducer: One Model Unifying Streaming and Non-streaming Speech Recognition0
WER we are and WER we think we are0
The Sequence-to-Sequence Baseline for the Voice Conversion Challenge 2020: Cascading ASR and TTSCode0
Swiss Parliaments Corpus, an Automatically Aligned Swiss German Speech to Standard German Text CorpusCode0
Fine-Grained Grounding for Multimodal Speech RecognitionCode0
Explaining Deep Neural Networks0
Transformers: State-of-the-Art Natural Language ProcessingCode0
基于拼音约束联合学习的汉语语音识别(Chinese Speech Recognition Based on Pinyin Constraint Joint Learning)0
End-to-End Spoken Language Understanding Without Full Transcripts0
The design and implementation of Language Learning Chatbot with XAI using Ontology and Transfer Learning0
A Study on Lip Localization Techniques used for Lip reading from a Video0
Estimation error analysis of deep learning on the regression problem on the variable exponent Besov space0
FluentNet: End-to-End Detection of Speech Disfluency with Deep Learning0
End-to-End Learning of Speech 2D Feature-Trajectory for Prosthetic HandsCode0
An analysis of deep neural networks for predicting trends in time series data0
Monolingual Data Selection Analysis for English-Mandarin Hybrid Code-switching Speech Recognition0
EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition0
SWP-LeafNET: A novel multistage approach for plant leaf identification based on deep CNN0
Multi-modal embeddings using multi-task learning for emotion recognition0
Unmanned Aerial Vehicle Control Through Domain-based Automatic Speech Recognition0
An End-to-end Architecture of Online Multi-channel Speech Separation0
Robust Spoken Language Understanding with RL-based Value Error Recovery0
Silent Speech Interfaces for Speech Restoration: A Review0
Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer0
Fine-grained Early Frequency Attention for Deep Speaker Representation Learning0
Estimating the Brittleness of AI: Safety Integrity Levels and the Need for Testing Out-Of-Distribution Performance0
Convolutional Speech Recognition with Pitch and Voice Quality Features0
Survey of Machine Learning Accelerators0
Innovative Pretrained-based Reranking Language Models for N-best Speech Recognition Lists0
Taiwanese Speech Recognition Based on Hybrid Deep Neural Network Architecture0
Hearings and mishearings: decrypting the spoken word0
A Preliminary Study on Leveraging Meta Learning Technique for Code-switching Speech Recognition0
Nepali Speech Recognition Using CNN, GRU and CTC0
Multi-view Attention-based Speech Enhancement Model for Noise-robust Automatic Speech Recognition0
Show:102550
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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