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 55015550 of 6433 papers

TitleStatusHype
Kernel Approximation Methods for Speech Recognition0
Bayesian Non-Homogeneous Markov Models via Polya-Gamma Data Augmentation with Applications to Rainfall Modeling0
Decoding with Finite-State Transducers on GPUs0
Multi-task Learning Of Deep Neural Networks For Audio Visual Automatic Speech Recognition0
Towards End-to-End Speech Recognition with Deep Convolutional Neural NetworksCode0
Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech RecognitionCode0
Deep Learning for Time-Series Analysis0
An affective computational model for machine consciousness0
Graph Databases for Designing High-Performance Speech Recognition Grammars0
Evaluating Low-Level Speech Features Against Human Perceptual Data0
Nonparametric Bayesian Semi-supervised Word Segmentation0
Deep Learning and Its Applications to Machine Health Monitoring: A SurveyCode0
Delta Networks for Optimized Recurrent Network Computation0
Recurrent Deep Stacking Networks for Speech Recognition0
Incorporating Language Level Information into Acoustic Models0
Evaluating Automatic Speech Recognition Systems in Comparison With Human Perception Results Using Distinctive Feature Measures0
Active Learning for Speech Recognition: the Power of Gradients0
Towards better decoding and language model integration in sequence to sequence models0
RACAI Entry for the IWSLT 2016 Shared Task0
Towards Improving Low-Resource Speech Recognition Using Articulatory and Language Features0
Microsoft Speech Language Translation (MSLT) Corpus: The IWSLT 2016 release for English, French and German0
The RWTH Aachen LVCSR system for IWSLT-2016 German Skype conversation recognition task0
Audio Segmentation for Robust Real-Time Speech Recognition Based on Neural NetworksCode0
The IWSLT 2016 Evaluation Campaign0
The IOIT English ASR system for IWSLT 20160
使用字典學習法於強健性語音辨識 (The Use of Dictionary Learning Approach for Robustness Speech Recognition) [In Chinese]0
融合多任務學習類神經網路聲學模型訓練於會議語音辨識之研究 (Leveraging Multi-Task Learning with Neural Network Based Acoustic Modeling for Improved Meeting Speech Recognition) [In Chinese]0
Zara: A Virtual Interactive Dialogue System Incorporating Emotion, Sentiment and Personality Recognition0
Lightly Supervised Quality Estimation0
Continuous Expressive Speaking Styles Synthesis based on CVSM and MR-HMM0
Reddit Temporal N-gram Corpus and its Applications on Paraphrase and Semantic Similarity in Social Media using a Topic-based Latent Semantic Analysis0
Automatic Syllabification for Manipuri language0
Ambient Search: A Document Retrieval System for Speech Streams0
papago: A Machine Translation Service with Word Sense Disambiguation and Currency Conversion0
Demonstrating Ambient Search: Implicit Document Retrieval for Speech Streams0
Automated speech-unit delimitation in spoken learner English0
Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short TextsCode0
Weakly-supervised text-to-speech alignment confidence measure0
Bayesian Language Model based on Mixture of Segmental Contexts for Spontaneous Utterances with Unexpected Words0
Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network0
Borrow a Little from your Rich Cousin: Using Embeddings and Polarities of English Words for Multilingual Sentiment Classification0
BioDCA Identifier: A System for Automatic Identification of Discourse Connective and Arguments from Biomedical Text0
An Overview of BPPT's Indonesian Language Resources0
A non-expert Kaldi recipe for Vietnamese Speech Recognition System0
Combining Human Inputters and Language Services to provide Multi-language support system for International Symposiums0
Vaidya: A Spoken Dialog System for Health Domain0
Experimental Study of Vowels in Nagamese, Ao and Lotha: Languages of Nagaland0
Arabic Language WEKA-Based Dialect Classifier for Arabic Automatic Speech Recognition Transcripts0
Recurrent Neural Network with Word Embedding for Complaint Classification0
Comparing Two Basic Methods for Discriminating Between Similar Languages and Varieties0
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