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 22012250 of 6433 papers

TitleStatusHype
AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale0
Continual Learning in Machine Speech Chain Using Gradient Episodic Memory0
Continual Learning for On-Device Speech Recognition using Disentangled Conformers0
A Study on Lip Localization Techniques used for Lip reading from a Video0
Continual Learning for End-to-End ASR by Averaging Domain Experts0
A Study of Non-autoregressive Model for Sequence Generation0
Contextual-Utterance Training for Automatic Speech Recognition0
Contextual Speech Recognition with Difficult Negative Training Examples0
Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems0
Contextual RNN-T For Open Domain ASR0
A study of latent monotonic attention variants0
AIPNet: Generative Adversarial Pre-training of Accent-invariant Networks for End-to-end Speech Recognition0
A Cross-language Study on Automatic Speech Disfluency Detection0
A Closer Look at Audio-Visual Multi-Person Speech Recognition and Active Speaker Selection0
Contextual Metric Meta-Evaluation by Measuring Local Metric Accuracy0
A Study of Language Modeling for Chinese Spelling Check0
Contextual Language Model Adaptation for Conversational Agents0
Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model0
A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems0
Bonseyes AI Pipeline -- bringing AI to you. End-to-end integration of data, algorithms and deployment tools0
Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion0
Contextualized End-to-End Speech Recognition with Contextual Phrase Prediction Network0
A Study of Enhancement, Augmentation, and Autoencoder Methods for Domain Adaptation in Distant Speech Recognition0
Contextualized End-to-end Automatic Speech Recognition with Intermediate Biasing Loss0
Contextualized Automatic Speech Recognition with Dynamic Vocabulary Prediction and Activation0
Ain't Misbehavin' -- Using LLMs to Generate Expressive Robot Behavior in Conversations with the Tabletop Robot Haru0
A Critical Review of Physics-Informed Machine Learning Applications in Subsurface Energy Systems0
Contextualized Automatic Speech Recognition with Dynamic Vocabulary0
Contextualized Automatic Speech Recognition with Attention-Based Bias Phrase Boosted Beam Search0
A Study of BFLOAT16 for Deep Learning Training0
Contextualization of ASR with LLM using phonetic retrieval-based augmentation0
Contextual Dependencies in Time-Continuous Multidimensional Affect Recognition0
A Study of All-Convolutional Encoders for Connectionist Temporal Classification0
Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm0
Contextual Biasing to Improve Domain-specific Custom Vocabulary Audio Transcription without Explicit Fine-Tuning of Whisper Model0
A Study into Pre-training Strategies for Spoken Language Understanding on Dysarthric Speech0
Contextual Biasing of Named-Entities with Large Language Models0
Contextual Biasing of Language Models for Speech Recognition in Goal-Oriented Conversational Agents0
Multi-Sentence Grounding for Long-term Instructional Video0
Aided diagnosis of dementia type through computer-based analysis of spontaneous speech0
A CRF Sequence Labeling Approach to Chinese Punctuation Prediction0
A CLARIN Transcription Portal for Interview Data0
Joint Beam Search Integrating CTC, Attention, and Transducer Decoders0
Contextual ASR Error Handling with LLMs Augmentation for Goal-Oriented Conversational AI0
Contextual Adapters for Personalized Speech Recognition in Neural Transducers0
CUSIDE-array: A Streaming Multi-Channel End-to-End Speech Recognition System with Realistic Evaluations0
Context-sensitive evaluation of automatic speech recognition: considering user experience & language variation0
A Streaming End-to-End Framework For Spoken Language Understanding0
A.I. based Embedded Speech to Text Using Deepspeech0
Context-Dependent Acoustic Modeling without Explicit Phone Clustering0
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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