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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

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Showing 101–150 of 3012 papers

TitleStatusHype
Boosting the Transferability of Audio Adversarial Examples with Acoustic Representation Optimization—0
Whispering in Amharic: Fine-tuning Whisper for Low-resource Language—0
Your voice is your voice: Supporting Self-expression through Speech Generation and LLMs in Augmented and Alternative Communication—0
Evaluating ASR Confidence Scores for Automated Error Detection in User-Assisted Correction Interfaces—0
ValSub: Subsampling Validation Data to Mitigate Forgetting during ASR Personalization—0
Everything Can Be Described in Words: A Simple Unified Multi-Modal Framework with Semantic and Temporal Alignment—0
An Exhaustive Evaluation of TTS- and VC-based Data Augmentation for ASR—0
Automatic Speech Recognition for Non-Native English: Accuracy and Disfluency Handling—0
Building English ASR model with regional language support—0
From Voice to Safety: Language AI Powered Pilot-ATC Communication Understanding for Airport Surface Movement Collision Risk Assessment—0
Qieemo: Speech Is All You Need in the Emotion Recognition in Conversations—0
Direct Speech to Speech Translation: A Review—0
Fine-Tuning Whisper for Inclusive Prosodic Stress Analysis—0
Unveiling Biases while Embracing Sustainability: Assessing the Dual Challenges of Automatic Speech Recognition Systems—0
LiteASR: Efficient Automatic Speech Recognition with Low-Rank ApproximationCode2
Adapting Automatic Speech Recognition for Accented Air Traffic Control Communications—0
CleanMel: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASRCode2
Nexus: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision—0
CS-Dialogue: A 104-Hour Dataset of Spontaneous Mandarin-English Code-Switching Dialogues for Speech Recognition—0
Exploring Gender Disparities in Automatic Speech Recognition Technology—0
Improving the Inclusivity of Dutch Speech Recognition by Fine-tuning Whisper on the JASMIN-CGN CorpusCode0
Understanding Zero-shot Rare Word Recognition Improvements Through LLM Integration—0
The Esethu Framework: Reimagining Sustainable Dataset Governance and Curation for Low-Resource Languages—0
Enhancing Speech Large Language Models with Prompt-Aware Mixture of Audio Encoders—0
Adopting Whisper for Confidence Estimation—0
Lost in Transcription, Found in Distribution Shift: Demystifying Hallucination in Speech Foundation Models—0
Benchmarking Automatic Speech Recognition coupled LLM Modules for Medical Diagnostics—0
Gesture-Aware Zero-Shot Speech Recognition for Patients with Language Disorders—0
DuplexMamba: Enhancing Real-time Speech Conversations with Duplex and Streaming CapabilitiesCode1
MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems—0
Causal Analysis of ASR Errors for Children: Quantifying the Impact of Physiological, Cognitive, and Extrinsic Factors—0
VINP: Variational Bayesian Inference with Neural Speech Prior for Joint ASR-Effective Speech Dereverberation and Blind RIR IdentificationCode1
Audio-Visual Representation Learning via Knowledge Distillation from Speech Foundation ModelsCode1
Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance—0
Afrispeech-Dialog: A Benchmark Dataset for Spontaneous English Conversations in Healthcare and Beyond—0
Leveraging Broadcast Media Subtitle Transcripts for Automatic Speech Recognition and SubtitlingCode0
CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition—0
A Differentiable Alignment Framework for Sequence-to-Sequence Modeling via Optimal Transport—0
Data-Driven Mispronunciation Pattern Discovery for Robust Speech Recognition—0
Sagalee: an Open Source Automatic Speech Recognition Dataset for Oromo LanguageCode1
When End-to-End is Overkill: Rethinking Cascaded Speech-to-Text Translation—0
Language Bias in Self-Supervised Learning For Automatic Speech Recognition—0
SELMA: A Speech-Enabled Language Model for Virtual Assistant Interactions—0
Cross-lingual Embedding Clustering for Hierarchical Softmax in Low-Resource Multilingual Speech Recognition—0
SEAL: Speech Embedding Alignment Learning for Speech Large Language Model with Retrieval-Augmented Generation—0
The Multicultural Medical Assistant: Can LLMs Improve Medical ASR Errors Across Borders?—0
Speech Translation Refinement using Large Language ModelsCode0
FireRedASR: Open-Source Industrial-Grade Mandarin Speech Recognition Models from Encoder-Decoder to LLM IntegrationCode5
Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing—0
Let SSMs be ConvNets: State-space Modeling with Optimal Tensor ContractionsCode0
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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