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 62016250 of 6433 papers

TitleStatusHype
Automatic Speech Recognition: A Shifted Role in Early Speech Intervention?0
Predicting Tasks in Goal-Oriented Spoken Dialog Systems using Semantic Knowledge Bases0
Hybrid Selection of Language Model Training Data Using Linguistic Information and Perplexity0
Experimental Evaluation of Speech Recognition Technologies for Voice-based Home Automation Control in a Smart Home0
A Self Learning Vocal Interface for Speech-impaired Users0
WebWOZ: A Platform for Designing and Conducting Web-based Wizard of Oz Experiments0
Building bilingual lexicon to create Dialect Tunisian corpora and adapt language model0
Sub-lexical Dialogue Act Classification in a Spoken Dialogue System Support for the Elderly with Cognitive Disabilities0
Multi-step Natural Language Understanding0
Generating More Specific Questions for Acquiring Attributes of Unknown Concepts from Users0
SLPAT in practice: lessons from translational research0
Which ASR should I choose for my dialogue system?0
Analyzing the Performance of Automatic Speech Recognition for Ageing Voice: Does it Correlate with Dependency Level?0
Abstractive Meeting Summarization with Entailment and Fusion0
Supervised Morphological Segmentation in a Low-Resource Learning Setting using Conditional Random Fields0
Exploiting multiple hypotheses for Multilingual Spoken Language Understanding0
Decipherment0
Adaptation Data Selection using Neural Language Models: Experiments in Machine Translation0
QuEst - A translation quality estimation framework0
Punctuation Prediction with Transition-based Parsing0
Broadcast News Story Segmentation Using Manifold Learning on Latent Topic Distributions0
Minimum Bayes Risk based Answer Re-ranking for Question Answering0
Adaptive Parser-Centric Text Normalization0
Meet EDGAR, a tutoring agent at MONSERRATE0
Combination of Recurrent Neural Networks and Factored Language Models for Code-Switching Language Modeling0
Word Alignment Modeling with Context Dependent Deep Neural Network0
Discriminative state tracking for spoken dialog systems0
The Haves and the Have-Nots: Leveraging Unlabelled Corpora for Sentiment Analysis0
Smoothed marginal distribution constraints for language modeling0
Modified SPLICE and its Extension to Non-Stereo Data for Noise Robust Speech Recognition0
A Convexity-based Generalization of Viterbi for Non-Deterministic Weighted Automata0
Stochastic Bi-Languages to model Dialogs0
Computing the Most Probable String with a Probabilistic Finite State Machine0
Keyphrase Cloud Generation of Broadcast NewsCode0
Deep Learning using Linear Support Vector MachinesCode0
Driven Decoding for machine translation (Vers un d\'ecodage guid\'e pour la traduction automatique) [in French]0
Applying Unsupervised Learning To Support Vector Space Model Based Speaking Assessment0
Evaluating Unsupervised Language Model Adaptation Methods for Speaking Assessment0
Experimental Results on the Native Language Identification Shared Task0
Prompt-based Content Scoring for Automated Spoken Language Assessment0
Distinguishing Common and Proper Nouns0
Segmentation Strategies for Streaming Speech Translation0
Optimal Data Set Selection: An Application to Grapheme-to-Phoneme Conversion0
Using Out-of-Domain Data for Lexical Addressee Detection in Human-Human-Computer Dialog0
Grouping Language Model Boundary Words to Speed K--Best Extraction from Hypergraphs0
Semi-Supervised Discriminative Language Modeling with Out-of-Domain Text Data0
User Goal Change Model for Spoken Dialog State Tracking0
Atypical Prosodic Structure as an Indicator of Reading Level and Text Difficulty0
Measuring the Structural Importance through Rhetorical Structure Index0
Discriminative Joint Modeling of Lexical Variation and Acoustic Confusion for Automated Narrative Retelling Assessment0
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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