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 56015650 of 6433 papers

TitleStatusHype
State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition0
Statistical and Computational Guarantees for the Baum-Welch Algorithm0
Statistical Beamformer Exploiting Non-stationarity and Sparsity with Spatially Constrained ICA for Robust Speech Recognition0
Statistical Evaluation of Pronunciation Encoding0
Machine Learning Construction: implications to cybersecurity0
Statistical Machine Translation Improvement based on Phrase Selection0
Statistical Method of Building Dialect Language Models for ASR Systems0
Statistical Testing on ASR Performance via Blockwise Bootstrap0
STC Speaker Recognition Systems for the VOiCES From a Distance Challenge0
STC speaker recognition systems for the NIST SRE 20210
Stepwise-Refining Speech Separation Network via Fine-Grained Encoding in High-order Latent Domain0
ST-Gait++: Leveraging spatio-temporal convolutions for gait-based emotion recognition on videos0
Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks0
Stochastic Bi-Languages to model Dialogs0
STOP: A dataset for Spoken Task Oriented Semantic Parsing0
Strategies for improving low resource speech to text translation relying on pre-trained ASR models0
Strategies in Transfer Learning for Low-Resource Speech Synthesis: Phone Mapping, Features Input, and Source Language Selection0
Stream attention-based multi-array end-to-end speech recognition0
Streaming Attention-Based Models with Augmented Memory for End-to-End Speech Recognition0
Streaming Audio-Visual Speech Recognition with Alignment Regularization0
Streaming automatic speech recognition with the transformer model0
Streaming End-to-End ASR based on Blockwise Non-Autoregressive Models0
Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification0
Streaming end-to-end multi-talker speech recognition0
Streaming end-to-end speech recognition with jointly trained neural feature enhancement0
Streaming Target-Speaker ASR with Neural Transducer0
Streaming, fast and accurate on-device Inverse Text Normalization for Automatic Speech Recognition0
Streaming Language Identification using Combination of Acoustic Representations and ASR Hypotheses0
Streaming Models for Joint Speech Recognition and Translation0
Streaming Multi-speaker ASR with RNN-T0
Streaming Multi-talker Speech Recognition with Joint Speaker Identification0
Streaming Noise Context Aware Enhancement For Automatic Speech Recognition in Multi-Talker Environments0
Streaming parallel transducer beam search with fast-slow cascaded encoders0
Streaming Punctuation: A Novel Punctuation Technique Leveraging Bidirectional Context for Continuous Speech Recognition0
Streaming Punctuation for Long-form Dictation with Transformers0
Streaming Simultaneous Speech Translation with Augmented Memory Transformer0
Streaming Speech-to-Confusion Network Speech Recognition0
Streaming Transformer ASR with Blockwise Synchronous Inference0
Streaming Transformer for Hardware Efficient Voice Trigger Detection and False Trigger Mitigation0
Streaming Transformer Transducer Based Speech Recognition Using Non-Causal Convolution0
Streaming Voice Conversion Via Intermediate Bottleneck Features And Non-streaming Teacher Guidance0
Streaming Voice Query Recognition using Causal Convolutional Recurrent Neural Networks0
StreamVoice+: Evolving into End-to-end Streaming Zero-shot Voice Conversion0
Strong Alone, Stronger Together: Synergizing Modality-Binding Foundation Models with Optimal Transport for Non-Verbal Emotion Recognition0
Structural Analysis of Hindi Phonetics and A Method for Extraction of Phonetically Rich Sentences from a Very Large Hindi Text Corpus0
Structured-based Curriculum Learning for End-to-end English-Japanese Speech Translation0
Structured Dialogue Policy with Graph Neural Networks0
Structured Discriminative Model For Dialog State Tracking0
Structured Penalties for Log-Linear Language Models0
Structured Speaker-Deficiency Adaptation of Foundation Models for Dysarthric and Elderly Speech Recognition0
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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