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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1751–1800 of 3012 papers

TitleStatusHype
Self-Attention Channel Combinator Frontend for End-to-End Multichannel Far-field Speech Recognition—0
Coarse-To-Fine And Cross-Lingual ASR Transfer—0
Robustness of end-to-end Automatic Speech Recognition Models – A Case Study using Mozilla DeepSpeech—0
Tree-constrained Pointer Generator for End-to-end Contextual Speech Recognition—0
ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding—0
Investigations on Speech Recognition Systems for Low-Resource Dialectal Arabic-English Code-Switching Speech—0
Improving callsign recognition with air-surveillance data in air-traffic communication—0
Grammar Based Speaker Role Identification for Air Traffic Control Speech Recognition—0
4-bit Quantization of LSTM-based Speech Recognition Models—0
Task-aware Warping Factors in Mask-based Speech Enhancement—0
Cross-domain Single-channel Speech Enhancement Model with Bi-projection Fusion Module for Noise-robust ASR—0
Reducing Exposure Bias in Training Recurrent Neural Network Transducers—0
Automatic Speech Recognition And Limited Vocabulary: A Survey—0
A Unified Transformer-based Framework for Duplex Text Normalization—0
Hierarchical Summarization for Longform Spoken Dialog—0
A Multi-level Acoustic Feature Extraction Framework for Transformer Based End-to-End Speech Recognition—0
A Light-weight contextual spelling correction model for customizing transducer-based speech recognition systems—0
StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition—0
The HW-TSC's Offline Speech Translation Systems for IWSLT 2021 Evaluation—0
End-to-End Speech Recognition With Joint Dereverberation Of Sub-Band Autoregressive EnvelopesCode0
Unsupervised Domain Adaptation in Speech Recognition using Phonetic Features—0
Dyn-ASR: Compact, Multilingual Speech Recognition via Spoken Language and Accent Identification—0
Improving Distinction between ASR Errors and Speech Disfluencies with Feature Space Interpolation—0
Blind and neural network-guided convolutional beamformer for joint denoising, dereverberation, and source separation—0
Learning a Neural Diff for Speech Models—0
Amortized Neural Networks for Low-Latency Speech Recognition—0
Decoupling recognition and transcription in Mandarin ASR—0
Automatic recognition of suprasegmentals in speech—0
ZJU’s IWSLT 2021 Speech Translation System—0
BTS: Back TranScription for Speech-to-Text Post-Processor using Text-to-Speech-to-Text—0
How Might We Create Better Benchmarks for Speech Recognition?—0
IMS’ Systems for the IWSLT 2021 Low-Resource Speech Translation Task—0
Interactive Reinforcement Learning for Table Balancing Robot—0
On Knowledge Distillation for Translating Erroneous Speech Transcriptions—0
ON-TRAC’ systems for the IWSLT 2021 low-resource speech translation and multilingual speech translation shared tasks—0
QASR: QCRI Aljazeera Speech Resource A Large Scale Annotated Arabic Speech Corpus—0
Technology-Augmented Multilingual Communication Models: New Interaction Paradigms, Shifts in the Language Services Industry, and Implications for Training Programs—0
Without Further Ado: Direct and Simultaneous Speech Translation by AppTek in 2021—0
Can You Hear It? Backdoor Attacks via Ultrasonic Triggers—0
Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition—0
Facetron: A Multi-speaker Face-to-Speech Model based on Cross-modal Latent Representations—0
An Adapter Based Pre-Training for Efficient and Scalable Self-Supervised Speech Representation Learning—0
OLR 2021 Challenge: Datasets, Rules and Baselines—0
CarneliNet: Neural Mixture Model for Automatic Speech Recognition—0
Multitask-Based Joint Learning Approach To Robust ASR For Radio Communication Speech—0
Sequence Model with Self-Adaptive Sliding Window for Efficient Spoken Document Segmentation—0
On Prosody Modeling for ASR+TTS based Voice Conversion—0
Streaming End-to-End ASR based on Blockwise Non-Autoregressive Models—0
A baseline model for computationally inexpensive speech recognition for Kazakh using the Coqui STT framework—0
Multi-task Learning with Cross Attention for Keyword Spotting—0
Show:102550
← PrevPage 36 of 61Next →
All datasetsLRS2RealMANSagaleeHUI speech corpusLRS3-TEDM-AILabs speech datasetThe Spoken Wikipedia CorporaVoxforge GermanVoxPopuli

Benchmark Results

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