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 651700 of 3012 papers

TitleStatusHype
Automatic speech recognition for launch control center communication using recurrent neural networks with data augmentation and custom language model0
Automatic Speech Recognition for Irish: the ABAIR-ÉIST System0
Automatic Speech Recognition for Humanitarian Applications in Somali0
Automatic Speech Recognition for Hindi0
Analyzing the factors affecting usefulness of Self-Supervised Pre-trained Representations for Speech Recognition0
Automatic Speech Recognition for Biomedical Data in Bengali Language0
Automatic Speech Recognition for African Low-Resource Languages: Challenges and Future Directions0
Automatic Speech Recognition Errors as a Predictor of L2 Listening Difficulties0
Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset0
Adapting self-supervised models to multi-talker speech recognition using speaker embeddings0
A Comparative Study on Multichannel Speaker-Attributed Automatic Speech Recognition in Multi-party Meetings0
Automatic Speech Recognition Biases in Newcastle English: an Error Analysis0
Automatic Speech Recognition (ASR) for the Diagnosis of pronunciation of Speech Sound Disorders in Korean children0
Automatic Speech Recognition: A Shifted Role in Early Speech Intervention?0
Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition0
Automatic Speech Recognition and Topic Identification for Almost-Zero-Resource Languages0
Analyzing ASR pretraining for low-resource speech-to-text translation0
Automatic Screening for Children with Speech Disorder using Automatic Speech Recognition: Opportunities and Challenges0
Analysis of Self-Attention Head Diversity for Conformer-based Automatic Speech Recognition0
Adapting Multi-Lingual ASR Models for Handling Multiple Talkers0
A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks0
使用字典學習法於強健性語音辨識 (The Use of Dictionary Learning Approach for Robustness Speech Recognition) [In Chinese]0
Transformer-based Cascaded Multimodal Speech Translation0
Automatic recognition of suprasegmentals in speech0
Automatic recognition of element classes and boundaries in the birdsong with variable sequences0
Analysis of Phonetic Transcription for Danish Automatic Speech Recognition0
Automatic recognition of child speech for robotic applications in noisy environments0
Automatic recognition and detection of aphasic natural speech0
Analysis of Multilingual Sequence-to-Sequence speech recognition systems0
Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition0
Automatic Quality Estimation for ASR System Combination0
Automatic Learning of Subword Dependent Model Scales0
Analysis of Manipuri Tones in ManiTo: A Tonal Contrast Database0
Automatic language identity tagging on word and sentence-level in multilingual text sources: a case-study on Luxembourgish0
Automatic Estimation of Intelligibility Measure for Consonants in Speech0
An Analysis of Semantically-Aligned Speech-Text Embeddings0
A Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio0
Automatic Documentation of ICD Codes with Far-Field Speech Recognition0
Analysis of GlobalPhone and Ethiopian Languages Speech Corpora for Multilingual ASR0
Automatic Detection of Code-switching Style from Acoustics0
Automatic assessment of spoken language proficiency of non-native children0
Adapting Automatic Speech Recognition for Accented Air Traffic Control Communications0
Automatic Assessment of Oral Reading Accuracy for Reading Diagnostics0
Automatically Assess Children's Reading Skills0
Analyse de l'effet de la r\'everb\'eration sur la reconnaissance automatique de la parole (Analyzing how reverberation affects Automatic Speech Recognition)0
Automated speech-unit delimitation in spoken learner English0
Automated speech tools for helping communities process restricted-access corpora for language revival efforts0
An Adaptive Psychoacoustic Model for Automatic Speech Recognition0
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning0
A Comparative Study of LLM-based ASR and Whisper in Low Resource and Code Switching Scenario0
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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