PK PyTorchKR Papers
Papers with Code 아카이브

Automatic Speech Recognition (ASR)

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋
하위 태스크
1
평가표
9
보존된 평가 기록
20

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.

평가 결과

데이터셋과 평가 조건을 선택해 성능·논문·코드를 비교하세요. 보존된 Papers with Code 기록으로, 최신 순위는 아닙니다.

LRS2

원본 태스크: Speech Recognition / Automatic Speech Recognition (ASR)

평가 기록 9건

LRS3-TED

원본 태스크: Speech Recognition / Automatic Speech Recognition (ASR)

평가 기록 2건

RealMAN

원본 태스크: Speech Recognition / Automatic Speech Recognition (ASR)

평가 기록 2건

Sagalee

원본 태스크: Speech Recognition / Automatic Speech Recognition (ASR)

평가 기록 2건

HUI speech corpus

원본 태스크: Speech Recognition / Automatic Speech Recognition (ASR)

평가 기록 1건

M-AILabs speech dataset

원본 태스크: Speech Recognition / Automatic Speech Recognition (ASR)

평가 기록 1건

VibraVox (headset microphone)

원본 태스크: Speech Recognition / Automatic Speech Recognition (ASR) / Automatic Phoneme Recognition

평가 기록 1건

VibraVox (throat microphone)

원본 태스크: Speech Recognition / Automatic Speech Recognition (ASR) / Automatic Phoneme Recognition

평가 기록 1건

Voxforge German

원본 태스크: Speech Recognition / Automatic Speech Recognition (ASR)

평가 기록 1건

VoxPopuli

원본 태스크: Speech Recognition / Automatic Speech Recognition (ASR)

평가 기록 1건

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.