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 12511300 of 6433 papers

TitleStatusHype
A Generative Model of a Pronunciation Lexicon for Hindi0
Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition0
Accurate and Reliable Confidence Estimation Based on Non-Autoregressive End-to-End Speech Recognition System0
A Simple Baseline for Domain Adaptation in End to End ASR Systems Using Synthetic Data0
A Simple and Generic Belief Tracking Mechanism for the Dialog State Tracking Challenge: On the believability of observed information0
A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks0
A simple and effective postprocessing method for image classification0
A Silent Speech Decoding System from EEG and EMG with Heterogenous Electrode Configurations0
Acoustic Modeling Using a Shallow CNN-HTSVM Architecture0
Comparison of parameters of vowel sounds of russian and english languages0
Comparison of Time-Frequency Representations for Environmental Sound Classification using Convolutional Neural Networks0
Completely Unsupervised Speech Recognition By A Generative Adversarial Network Harmonized With Iteratively Refined Hidden Markov Models0
A Short Survey on Data Clustering Algorithms0
A Generalized Framework for Hierarchical Word Sequence Language Model0
A Semi-autonomous System for Creating a Human-Machine Interaction Corpus in Virtual Reality: Application to the ACORFORMed System for Training Doctors to Break Bad News0
A Semi-Automated Live Interlingual Communication Workflow Featuring Intralingual Respeaking: Evaluation and Benchmarking0
A GEN AI Framework for Medical Note Generation0
A Semantic Analyzer for the Comprehension of the Spontaneous Arabic Speech0
A Self Learning Vocal Interface for Speech-impaired Users0
AGADIR: Towards Array-Geometry Agnostic Directional Speech Recognition0
A Self-Attentive Model with Gate Mechanism for Spoken Language Understanding0
Acoustic Model Fusion for End-to-end Speech Recognition0
Accent-Robust Automatic Speech Recognition Using Supervised and Unsupervised Wav2vec Embeddings0
Comparison of Grapheme-to-Phoneme Conversion Methods on a Myanmar Pronunciation Dictionary0
A Scalable Architecture For Web Deployment of Spoken Dialogue Systems0
Acoustic Model Compression with MAP adaptation0
AS-ASR: A Lightweight Framework for Aphasia-Specific Automatic Speech Recognition0
ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition0
Afrispeech-Dialog: A Benchmark Dataset for Spontaneous English Conversations in Healthcare and Beyond0
Accent Recognition with Hybrid Phonetic Features0
AS-70: A Mandarin stuttered speech dataset for automatic speech recognition and stuttering event detection0
AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR0
ArzEn: A Speech Corpus for Code-switched Egyptian Arabic-English0
AfriNames: Most ASR models "butcher" African Names0
Acoustic Feature Mixup for Balanced Multi-aspect Pronunciation Assessment0
3D Feature Pyramid Attention Module for Robust Visual Speech Recognition0
Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR0
Artificial Neural Networks to Recognize Speakers Division from Continuous Bengali Speech0
Artie Bias Corpus: An Open Dataset for Detecting Demographic Bias in Speech Applications0
Acoustic feature learning using cross-domain articulatory measurements0
Articulatory information and Multiview Features for Large Vocabulary Continuous Speech Recognition0
Articulatory Features for ASR of Pathological Speech0
A Framework for Synthetic Audio Conversations Generation using Large Language Models0
3-D Feature and Acoustic Modeling for Far-Field Speech Recognition0
Articulatory and bottleneck features for speaker-independent ASR of dysarthric speech0
A Robotic Agent in a Virtual Environment that Performs Situated Incremental Understanding of Navigational Utterances0
A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding0
Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition0
Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences0
Code Switched and Code Mixed Speech Recognition for Indic languages0
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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