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资源简介:
L2-ARCTIC: A Non-native English Speech Corpus
L2-ARCTIC:非母语英语语音语料库
应用场景:
创建时间:
2026-07-19
相关数据集
Deeply Vocal Characterizer Dataset - AI & ML Training Data, South Korea
The Vocal Characterizer Dataset is a human nonverbal vocal sound dataset consisting of 56.7 hours of short clips from 1419 speakers, crowdsourced by the general public in South Korea and validated by
Datarade150
Deeply Vocal Characterizer Dataset
该数据集是较大的语料库 (Vocal Characterizer数据集) 的样本。后者是人类非语言声音的数据集,由来自1419扬声器的56.7小时短视频组成,由韩国公众众包。此外,数据集还包括诸如年龄,性别,噪声水平和语音质量之类的元数据。包含16类人类非语言音,包括「牙齿颤动」、「牙齿磨牙」、「舌头咔嚓」、「鼻涕」、「咳嗽」、「打哈欠」、「清嗓子」、「叹息」、「大笑」、「拍打嘴唇」、 “喘气”
OpenXLab50
Listeners map spontaneous nonverbal vocalizations to behavioral contexts - Datasets
Raw data of the experiment as well as dprime scores calculated for statistical analysis. Variable names represent behavioural contexts included in the study. See the article for details.
Figshare2021-01-12 更新20
TTS-AGI/EN_Emilia_Yodas_ScribeEvents
--- license: cc-by-4.0 language: - en task_categories: - automatic-speech-recognition tags: - vocal-bursts - scribe-events - emilia pretty_name: EN Emilia Yodas - Scribe Events (Filtered) --- # EN Em
Hugging Face2026-03-28 更新50
English as a Second Language TTS (ESLTTS) dataset
With the progress made in speaker-adaptive TTS approaches, advanced approaches have shown a remarkable capacity to reproduce the speaker’s voice in the commonly used TTS datasets. However, mimicking v
DataCite Commons2024-04-27 更新50



