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 29012925 of 3012 papers

TitleStatusHype
Lecture Translator - Speech translation framework for simultaneous lecture translation0
An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition0
An Attentional Model for Speech Translation Without Transcription0
Developing language technology tools and resources for a resource-poor language: Sindhi0
Phonological Pun-derstanding0
A Joint Model of Orthography and Morphological Segmentation0
Using Related Languages to Enhance Statistical Language Models0
The IBM Speaker Recognition System: Recent Advances and Error Analysis0
The SI TEDx-UM speech database: a new Slovenian Spoken Language Resource0
A Corpus of Read and Spontaneous Upper Saxon German Speech for ASR Evaluation0
Using the TED Talks to Evaluate Spoken Post-editing of Machine Translation0
Falling silent, lost for words ... Tracing personal involvement in interviews with Dutch war veterans0
Endangered Language Documentation: Bootstrapping a Chatino Speech Corpus, Forced Aligner, ASR0
Enhanced CORILGA: Introducing the Automatic Phonetic Alignment Tool for Continuous Speech0
Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of WolofCode0
Generating Task-Pertinent sorted Error Lists for Speech Recognition0
The DIRHA Portuguese Corpus: A Comparison of Home Automation Command Detection and Recognition in Simulated and Real Data.0
Designing a Speech Corpus for the Development and Evaluation of Dictation Systems in Latvian0
Joining-in-type Humanoid Robot Assisted Language Learning System0
The ILMT-s2s Corpus ― A Multimodal Interlingual Map Task Corpus0
Towards Automatic Transcription of ILSE ― an Interdisciplinary Longitudinal Study of Adult Development and Aging0
A Comparative Analysis of Crowdsourced Natural Language Corpora for Spoken Dialog Systems0
Operational Assessment of Keyword Search on Oral History0
Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA ProjectCode0
Adaptive Frequency Cepstral Coefficients for Word Mispronunciation Detection0
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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