SOTAVerified

Automatic Speech Recognition

Papers

Showing 125 of 3174 papers

TitleStatusHype
CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-trainingCode11
Scaling Speech-Text Pre-training with Synthetic Interleaved DataCode7
GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken ChatbotCode7
OxfordVGG Submission to the EGO4D AV Transcription ChallengeCode6
FireRedASR: Open-Source Industrial-Grade Mandarin Speech Recognition Models from Encoder-Decoder to LLM IntegrationCode5
GigaAM: Efficient Self-Supervised Learner for Speech RecognitionCode4
SpeechColab Leaderboard: An Open-Source Platform for Automatic Speech Recognition EvaluationCode4
Dolphin: A Large-Scale Automatic Speech Recognition Model for Eastern LanguagesCode4
VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language ModelCode4
WhisperNER: Unified Open Named Entity and Speech RecognitionCode3
Fast-MD: Fast Multi-Decoder End-to-End Speech Translation with Non-Autoregressive Hidden IntermediatesCode3
VoiceBench: Benchmarking LLM-Based Voice AssistantsCode3
Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-PlayCode3
A Parallelizable Lattice Rescoring Strategy with Neural Language ModelsCode3
Delay-penalized transducer for low-latency streaming ASRCode3
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation ModelsCode3
TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptationCode3
PhoWhisper: Automatic Speech Recognition for VietnameseCode3
Sentiment Reasoning for HealthcareCode3
SALMONN: Towards Generic Hearing Abilities for Large Language ModelsCode3
Conformer: Convolution-augmented Transformer for Speech RecognitionCode3
DiarizationLM: Speaker Diarization Post-Processing with Large Language ModelsCode3
MooER: LLM-based Speech Recognition and Translation Models from Moore ThreadsCode3
FunCodec: A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech CodecCode2
An Embarrassingly Simple Approach for LLM with Strong ASR CapacityCode2
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