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 526550 of 3012 papers

TitleStatusHype
DiaCorrect: End-to-end error correction for speaker diarizationCode0
Direct Segmentation Models for Streaming Speech TranslationCode0
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech RecognitionCode0
Deep Learning for Audio Signal ProcessingCode0
Data Fusion for Audiovisual Speaker Localization: Extending Dynamic Stream Weights to the Spatial DomainCode0
Big model only for hard audios: Sample dependent Whisper model selection for efficient inferencesCode0
Bigger is not Always Better: The Effect of Context Size on Speech Pre-TrainingCode0
A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech RecognitionCode0
Detecting Adversarial Examples for Speech Recognition via Uncertainty QuantificationCode0
BERT Attends the Conversation: Improving Low-Resource Conversational ASRCode0
Bidirectional Quaternion Long-Short Term Memory Recurrent Neural Networks for Speech RecognitionCode0
Bi-Directional Lattice Recurrent Neural Networks for Confidence EstimationCode0
Cross-domain Speech Recognition with Unsupervised Character-level Distribution MatchingCode0
Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language UnderstandingCode0
Coupled Training of Sequence-to-Sequence Models for Accented Speech RecognitionCode0
Beyond Levenshtein: Leveraging Multiple Algorithms for Robust Word Error Rate Computations And Granular Error ClassificationsCode0
Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTubeCode0
Confidence Score Based Speaker Adaptation of Conformer Speech Recognition SystemsCode0
Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with SubwordsCode0
Conditional independence for pretext task selection in Self-supervised speech representation learningCode0
Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics ProcessingCode0
Comparison and Analysis of New Curriculum Criteria for End-to-End ASRCode0
Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural NetworksCode0
Continual Learning for Monolingual End-to-End Automatic Speech RecognitionCode0
BERSting at the Screams: A Benchmark for Distanced, Emotional and Shouted Speech RecognitionCode0
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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