SOTAVerified

Automatic Speech Recognition (ASR)

Automatic Speech Recognition (ASR) involves converting spoken language into written text. It is designed to transcribe spoken words into text in real-time, allowing people to communicate with computers, mobile devices, and other technology using their voice. The goal of Automatic Speech Recognition is to accurately transcribe speech, taking into account variations in accent, pronunciation, and speaking style, as well as background noise and other factors that can affect speech quality.

Papers

Showing 21012125 of 3012 papers

TitleStatusHype
SUH_ASR@LT-EDI-ACL2022: Transformer based Approach for Speech Recognition for Vulnerable Individuals in Tamil0
Summary on the ISCSLP 2022 Chinese-English Code-Switching ASR Challenge0
Supervision-Guided Codebooks for Masked Prediction in Speech Pre-training0
Sur l'utilisation de la reconnaissance automatique de la parole pour l'aide au diagnostic diff\'erentiel entre la maladie de Parkinson et l'AMS (On using automatic speech recognition for the differential diagnosis of Parkinson's Disease and MSA This article presents a study regarding the contribution of automatic speech processing in the differential diagnosis between Parkinson's disease and MSA (Multi-System Atrophies))0
Svarah: Evaluating English ASR Systems on Indian Accents0
Switching Independent Vector Analysis and Its Extension to Blind and Spatially Guided Convolutional Beamforming Algorithms0
Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition0
Syntactic and Semantic Features For Code-Switching Factored Language Models0
SynthASR: Unlocking Synthetic Data for Speech Recognition0
Synthesising Audio Adversarial Examples for Automatic Speech Recognition0
Synthesizing Dysarthric Speech Using Multi-talker TTS for Dysarthric Speech Recognition0
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition0
TALCS: An Open-Source Mandarin-English Code-Switching Corpus and a Speech Recognition Baseline0
Talk, Don't Write: A Study of Direct Speech-Based Image Retrieval0
Targeted Adversarial Examples for Black Box Audio Systems0
TASK AWARE MULTI-TASK LEARNING FOR SPEECH TO TEXT TASKS0
Task-aware Warping Factors in Mask-based Speech Enhancement0
Teach an all-rounder with experts in different domains0
Technology-Augmented Multilingual Communication Models: New Interaction Paradigms, Shifts in the Language Services Industry, and Implications for Training Programs0
TED-LIUM: an Automatic Speech Recognition dedicated corpus0
Temporal Order Preserved Optimal Transport-based Cross-modal Knowledge Transfer Learning for ASR0
Tencent-MVSE: A Large-Scale Benchmark Dataset for Multi-Modal Video Similarity Evaluation0
Teochew-Wild: The First In-the-wild Teochew Dataset with Orthographic Annotations0
Text Generation with Speech Synthesis for ASR Data Augmentation0
Text Injection for Capitalization and Turn-Taking Prediction in Speech Models0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TM-CTCTest WER10.1Unverified
2TM-seq2seqTest WER9.7Unverified
3CTC/attentionTest WER8.2Unverified
4LF-MMI TDNNTest WER6.7Unverified
5Whisper-LLaMATest WER6.6Unverified
6End2end ConformerTest WER3.9Unverified
7End2end ConformerTest WER3.7Unverified
8MoCo + wav2vec (w/o extLM)Test WER2.7Unverified
9CTC/AttentionTest WER1.5Unverified
10WhisperTest WER1.3Unverified
#ModelMetricClaimedVerifiedStatus
1SpatialNetCER14.5Unverified
2CleanMel-L-maskCER14.4Unverified
#ModelMetricClaimedVerifiedStatus
1ConformerTest WER15.32Unverified
2Whisper-largev3-finetunedTest WER10.82Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)1.89Unverified
#ModelMetricClaimedVerifiedStatus
1DistillAVWER1.4Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)4.28Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)8.04Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)3.36Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer Transducer (German)WER (%)8.98Unverified