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 21512200 of 6433 papers

TitleStatusHype
Code-Switching without Switching: Language Agnostic End-to-End Speech Translation0
Learning with Limited Samples -- Meta-Learning and Applications to Communication Systems0
Efficient acoustic feature transformation in mismatched environments using a Guided-GAN0
Investigating the Impact of ASR Errors on Spoken Implicit Discourse Relation Recognition0
Keyphrase Prediction from Video Transcripts: New Dataset and Directions0
Language-specific Effects on Automatic Speech Recognition Errors for World Englishes0
Zero-shot Disfluency Detection for Indian Languages0
Improving Code-switched ASR with Linguistic Information0
Can We Train a Language Model Inside an End-to-End ASR Model? - Investigating Effective Implicit Language Modeling0
Fashioning Local Designs from Generic Speech Technologies in an Australian Aboriginal Community0
面向 Transformer 模型的蒙古语语音识别词特征编码方法(Researching of the Mongolian word encoding method based on Transformer Mongolian speech recognition)0
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
A Comparison of Transformer, Convolutional, and Recurrent Neural Networks on Phoneme Recognition0
Multi-stage Progressive Compression of Conformer Transducer for On-device Speech Recognition0
E-Branchformer: Branchformer with Enhanced merging for speech recognition0
Blind Signal Dereverberation for Machine Speech Recognition0
Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition0
SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data0
ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition0
An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts0
Predicting Affective Vocal Bursts with Finetuned wav2vec 2.0Code0
On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question AnsweringCode0
Liquid Structural State-Space ModelsCode2
Unsupervised domain adaptation for speech recognition with unsupervised error correction0
CMGAN: Conformer-Based Metric-GAN for Monaural Speech EnhancementCode2
Assessing ASR Model Quality on Disordered Speech using BERTScore0
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API PredictionsCode1
Parameter-Efficient Conformers via Sharing Sparsely-Gated Experts for End-to-End Speech Recognition0
An Automatic Speech Recognition System for Bengali Language based on Wav2Vec2 and Transfer LearningCode0
Adaptive Natural Language Generation for Task-oriented Dialogue via Reinforcement LearningCode0
Distribution Aware Metrics for Conditional Natural Language Generation0
Non-Parallel Voice Conversion for ASR Augmentation0
A Universally-Deployable ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement, and Voice Separation0
ESSumm: Extractive Speech Summarization from Untranscribed Meeting0
Federated Pruning: Improving Neural Network Efficiency with Federated Learning0
Bangla-Wave: Improving Bangla Automatic Speech Recognition Utilizing N-gram Language Models0
Analysis of Self-Attention Head Diversity for Conformer-based Automatic Speech Recognition0
Learning ASR pathways: A sparse multilingual ASR model0
Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification0
VarArray Meets t-SOT: Advancing the State of the Art of Streaming Distant Conversational Speech Recognition0
Applying wav2vec2 for Speech Recognition on Bengali Common Voices Dataset0
Lexicon and Attention based Handwritten Text Recognition System0
Streaming Target-Speaker ASR with Neural Transducer0
Conversion of Acoustic Signal (Speech) Into Text By Digital Filter using Natural Language Processing0
Multilingual Transformer Language Model for Speech Recognition in Low-resource Languages0
Goodness of Pronunciation Pipelines for OOV ProblemCode1
Non-autoregressive Error Correction for CTC-based ASR with Phone-conditioned Masked LMCode1
Modeling Dependent Structure for Utterances in ASR Evaluation0
Plant Species Classification Using Transfer Learning by Pretrained Classifier VGG-190
ASR2K: Speech Recognition for Around 2000 Languages without AudioCode1
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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