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Speech Recognition

65개 벤치마크 · 논문 7,133편 · 이 태스크의 논문 보기 →

Benchmarks

LibriSpeech test-clean

결과 66개

LibriSpeech test-other

결과 53개

Switchboard + Hub500

결과 30개

TIMIT

결과 22개

AISHELL-1

결과 20개

WSJ eval92

결과 17개

Common Voice German

결과 14개

TUDA

결과 9개

Common Voice French

결과 8개

Common Voice Spanish

결과 8개

MediaSpeech

결과 8개

SLUE

결과 8개

VietMed

결과 8개

WenetSpeech

결과 8개

Common Voice

결과 5개

EasyCom

결과 5개

GigaSpeech DEV

결과 5개

GigaSpeech TEST

결과 5개

Hub5'00 SwitchBoard

결과 5개

CHiME-6 dev_gss12

결과 4개

LRS3-TED

결과 4개

Tedlium

결과 4개

WSJ dev93

결과 4개

CHiME-6 eval

결과 3개

Common Voice vi

결과 3개

Fongbe audio

결과 3개

SPGISpeech

결과 3개

Speech Commands

결과 3개

VIVOS

결과 3개

WSJ eval93

결과 3개

AISHELL-2

결과 2개

AMI IMH

결과 2개

AMI SDM1

결과 2개

Common Voice English

결과 2개

Common Voice Italian

결과 2개

GigaSpeech

결과 2개

LibriCSS

결과 2개

TED-LIUM

결과 2개

AISHELL-2 Test IOS

결과 1개

AISHELL-2 Test Mic

결과 1개

CALLHOME En

결과 1개

CAS-VSR-S101

결과 1개

Common Voice Frisian

결과 1개

Common Voice Japanese

결과 1개

Common Voice Russian

결과 1개

Hub5'00 CallHome

결과 1개

Hub5'00 FISHER-SWBD

결과 1개

LRS2

결과 1개

Switchboard (300hr)

결과 1개

Switchboard CallHome

결과 1개

Switchboard SWBD

결과 1개

Most implemented

Listen, Attend and Spell

2015-08-05 · 구현 40개

Papers

Hiding Tool Latency in On-Device Cascaded Voice Agent through Speculative Execution

2026-10-06 · Kyudan Jung, Hyunsin Park, Yoonhyung Lee, Jinhwan Park 외 hf

Tool-augmented speech assistants typically serialize automatic speech recognition, large language model inference, and external tool execution. As a result, tool latency is incurred only after the user has finished speak…

Speech Recognition

Q-SPT: Learnable Query-Based Compression for Low-Frame-Rate Speech Tokenization

2026-10-01 · Jeeyoung Yun, Seohwan Yun, Sungwoong Kim arxiv

Neural speech codecs increasingly serve as tokenizers for speech language models (SLMs). Lowering the frame rate reduces the computational and memory costs of SLMs, but makes it difficult to preserve both linguistic info…

Speech Recognition

SHAMS: An Audio-Grounded Pronunciation Benchmark for Levantine Arabic

2026-10-01 · Ben Sapirstein, Roy Mattar, Guy Mor-Lan, Ahlam Mohamed 외 arxiv

Levantine Arabic (LA) is spoken by tens of millions of people, creating a pressing need for shared benchmarks to evaluate LA speech-language technologies. Evaluating such technology is particularly challenging given LA's…

Speech Recognition

Pruned CTC for Memory-Efficient Large-Vocabulary ASR Training

2026-09-27 · Yifan Yang, Xiaoyu Yang, Zengrui Jin, Xian Shi 외 hf

Connectionist temporal classification (CTC) naturally supports offline and streaming speech recognition with utterance-level supervision, but conventional implementations materialize frame-by-vocabulary activations in me…

Speech Recognition

NVAlign: Direct-Gradient Optimization for Non-Verbal Control in Continuous Autoregressive Flow Matching Text-to-Speech

2026-09-25 · Qiaolin Wang, Pedro Sandoval-Segura, Anunaya Joshi, Edvardas Jurkonis 외 hf

While modern text-to-speech (TTS) systems generate highly natural speech and support inline non-verbal vocalization (NVV) tags, accurate control over these events remains challenging. A key gap is the lack of established…

Speech Recognition

OmniVChat: Synthesizing, Benchmarking, and Training for Native Audio-Visual Dialogue

2026-09-18 · Haolin He, Yunfei Chu, Qi Chen, Wen Huang 외 hf

We define OmniVChat (Omni Video Chat) as the task of native audio-visual dialogue between a user and an omni model. In OmniVChat, omni models directly and simultaneously receive audio and video from a user and return tex…

Reinforcement LearningSpeech RecognitionVideo Generation

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