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 351400 of 3012 papers

TitleStatusHype
Analysis of Self-Attention Head Diversity for Conformer-based Automatic Speech Recognition0
Automated speech tools for helping communities process restricted-access corpora for language revival efforts0
Automatic assessment of spoken language proficiency of non-native children0
Automatic Detection of Code-switching Style from Acoustics0
Automatic Quality Estimation for ASR System Combination0
Analysis of Phonetic Transcription for Danish Automatic Speech Recognition0
Analysis of Multilingual Sequence-to-Sequence speech recognition systems0
Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition0
Analysis of Manipuri Tones in ManiTo: A Tonal Contrast Database0
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
Analysis of GlobalPhone and Ethiopian Languages Speech Corpora for Multilingual ASR0
Adapting Automatic Speech Recognition for Accented Air Traffic Control Communications0
A Comparative Study of LLM-based ASR and Whisper in Low Resource and Code Switching Scenario0
Analyse de l'effet de la r\'everb\'eration sur la reconnaissance automatique de la parole (Analyzing how reverberation affects Automatic Speech Recognition)0
An Adaptive Psychoacoustic Model for Automatic Speech Recognition0
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning0
4D ASR: Joint modeling of CTC, Attention, Transducer, and Mask-Predict decoders0
A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition0
A Multi-Purpose Audio-Visual Corpus for Multi-Modal Persian Speech Recognition: the Arman-AV Dataset0
A Multimodal Dense Retrieval Approach for Speech-Based Open-Domain Question Answering0
A Multimodal Approach to Device-Directed Speech Detection with Large Language Models0
Adaptation and Optimization of Automatic Speech Recognition (ASR) for the Maritime Domain in the Field of VHF Communication0
A Comparative Analysis of Crowdsourced Natural Language Corpora for Spoken Dialog Systems0
A Multi-Dialectal Dataset for German Dialect ASR and Dialect-to-Standard Speech Translation0
AMPS: ASR with Multimodal Paraphrase Supervision0
Adaptable End-to-End ASR Models using Replaceable Internal LMs and Residual Softmax0
Amortized Neural Networks for Low-Latency Speech Recognition0
AdaMER-CTC: Connectionist Temporal Classification with Adaptive Maximum Entropy Regularization for Automatic Speech Recognition0
4-bit Quantization of LSTM-based Speech Recognition Models0
Handling Numeric Expressions in Automatic Speech Recognition0
Improving OOV Detection and Resolution with External Language Models in Acoustic-to-Word ASR0
Automated Cross-language Intelligibility Analysis of Parkinson's Disease Patients Using Speech Recognition Technologies0
A Mixture of Expert Based Deep Neural Network for Improved ASR0
Amharic-English Speech Translation in Tourism Domain0
Adam^+: A Stochastic Method with Adaptive Variance Reduction0
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio0
A meta learning scheme for fast accent domain expansion in Mandarin speech recognition0
A Code-Switching Corpus of Turkish-German Conversations0
On the Problem of Text-To-Speech Model Selection for Synthetic Data Generation in Automatic Speech Recognition0
A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network0
Alzheimer Disease Classification through ASR-based Transcriptions: Exploring the Impact of Punctuation and Pauses0
A Cycle-GAN Approach to Model Natural Perturbations in Speech for ASR Applications0
Almost Unsupervised Text to Speech and Automatic Speech Recognition0
All-neural online source separation, counting, and diarization for meeting analysis0
AC-Mix: Self-Supervised Adaptation for Low-Resource Automatic Speech Recognition using Agnostic Contrastive Mixup0
Listening while Speaking and Visualizing: Improving ASR through Multimodal Chain0
A Universally-Deployable ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement, and Voice Separation0
Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition0
A two-step approach to leverage contextual data: speech recognition in air-traffic communications0
Show:102550
← PrevPage 8 of 61Next →

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