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 61516200 of 6433 papers

TitleStatusHype
改良調變頻譜統計圖等化法於強健性語音辨識之研究 (Improved Modulation Spectrum Histogram Equalization for Robust Speech Recognition) [In Chinese]0
基於Sphinx 可快速個人化行動數字語音辨識系統 (Quickly Personalizable Mobile Digit Speech Recognition System Based on Sphinx) [In Chinese]0
Feature-based Neural Language Model and Chinese Word Segmentation0
Multimodal Comparable Corpora as Resources for Extracting Parallel Data: Parallel Phrases Extraction0
Mapping Rules for Building a Tunisian Dialect Lexicon and Generating Corpora0
An Unsupervised Parameter Estimation Algorithm for a Generative Dependency N-gram Language Model0
A Study of Language Modeling for Chinese Spelling Check0
Towards High-Reliability Speech Translation in the Medical Domain0
Conditional Random Field-based Parser and Language Model for Tradi-tional Chinese Spelling Checker0
Response Generation Based on Hierarchical Semantic Structure with POMDP Re-ranking for Conversational Dialogue Systems0
Fast Bootstrapping of Grapheme to Phoneme System for Under-resourced Languages - Application to the Iban Language0
Structured Penalties for Log-Linear Language Models0
Simulating Early-Termination Search for Verbose Spoken Queries0
Russian Stress Prediction using Maximum Entropy Ranking0
Joint Language and Translation Modeling with Recurrent Neural Networks0
Converting Continuous-Space Language Models into N-Gram Language Models for Statistical Machine Translation0
Joint Learning of Phonetic Units and Word Pronunciations for ASR0
Feature Learning with Gaussian Restricted Boltzmann Machine for Robust Speech Recognition0
Improvements to deep convolutional neural networks for LVCSR0
Automatic Enhancement of LTAG Treebank0
Improving Language Model Adaptation using Automatic Data Selection and Neural Network0
Korean Word-Sense Disambiguation Using Parallel Corpus as Additional Resource0
Realization of common statistical methods in computational linguistics with functional automata0
Implementation Of Back-Propagation Neural Network For Isolated Bangla Speech Recognition0
A Simple and Generic Belief Tracking Mechanism for the Dialog State Tracking Challenge: On the believability of observed information0
Automatic speech recognition in the diagnosis of primary progressive aphasia0
POMDP-based dialogue manager adaptation to extended domains0
Controlled Ascent: Imbuing Statistical MT with Linguistic Knowledge0
The Map Task Dialogue System: A Test-bed for Modelling Human-Like Dialogue0
Unsupervised structured semantic inference for spoken dialog reservation tasks0
Making Speech-Based Assistive Technology Work for a Real User0
Improving Continuous Sign Language Recognition: Speech Recognition Techniques and System Design0
Continuously Predicting and Processing Barge-in During a Live Spoken Dialogue Task0
Multi-domain learning and generalization in dialog state tracking0
Demonstration of the EmoteWizard of Oz Interface for Empathic Robotic Tutors0
The Dialog State Tracking Challenge0
Comparing and combining classifiers for self-taught vocal interfaces0
Individuality-Preserving Voice Conversion for Articulation Disorders Using Locality-Constrained NMF0
Probabilistic Dialogue Modeling for Speech-Enabled Assistive Technology0
Word Recognition from Continuous Articulatory Movement Time-series Data using Symbolic Representations0
Modelling Human Clarification Strategies0
Exploring Features For Localized Detection of Speech Recognition Errors0
Visual Subtitles for Internet Videos0
Automating speech reception threshold measurements using automatic speech recognition0
Robust Feature Extraction to Utterance Fluctuation of Articulation Disorders Based on Random Projection0
A Robotic Agent in a Virtual Environment that Performs Situated Incremental Understanding of Navigational Utterances0
homeService: Voice-enabled assistive technology in the home using cloud-based automatic speech recognition0
Impact of ASR N-Best Information on Bayesian Dialogue Act Recognition0
Structured Discriminative Model For Dialog State Tracking0
Recipe For Building Robust Spoken Dialog State Trackers: Dialog State Tracking Challenge System Description0
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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