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
Breaking Walls: Pioneering Automatic Speech Recognition for Central Kurdish: End-to-End Transformer Paradigm0
BridgeNets: Student-Teacher Transfer Learning Based on Recursive Neural Networks and its Application to Distant Speech Recognition0
Bridging Speech and Text: Enhancing ASR with Pinyin-to-Character Pre-training in LLMs0
Bridging Speech and Textual Pre-trained Models with Unsupervised ASR0
Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding0
Bridging the Gap Between Monaural Speech Enhancement and Recognition with Distortion-Independent Acoustic Modeling0
Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models0
Bridging the Modality Gap: Softly Discretizing Audio Representation for LLM-based Automatic Speech Recognition0
Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition0
BS-PLCNet: Band-split Packet Loss Concealment Network with Multi-task Learning Framework and Multi-discriminators0
BSTC: A Large-Scale Chinese-English Speech Translation Dataset0
BTS: Back TranScription for Speech-to-Text Post-Processor using Text-to-Speech-to-Text0
BUCEADOR, a multi-language search engine for digital libraries0
Building Accurate Low Latency ASR for Streaming Voice Search0
Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition0
Building an ASR Error Robust Spoken Virtual Patient System in a Highly Class-Imbalanced Scenario Without Speech Data0
Building and Evaluation of a Real Room Impulse Response Dataset0
Building a Noisy Audio Dataset to Evaluate Machine Learning Approaches for Automatic Speech Recognition Systems0
Building a Non-native Speech Corpus Featuring Chinese-English Bilingual Children: Compilation and Rationale0
Building a Public Domain Voice Database for Odia0
Building a Unified Code-Switching ASR System for South African Languages0
Building competitive direct acoustics-to-word models for English conversational speech recognition0
Building English ASR model with regional language support0
Building Open Javanese and Sundanese Corpora for Multilingual Text-to-Speech0
Building Open-source Speech Technology for Low-resource Minority Languages with SáMi as an Example – Tools, Methods and Experiments0
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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