datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ASCEND
Dataset Card for ASCEND
Dataset Summary
ASCEND (A Spontaneous Chinese-English Dataset) introduces a high-quality resource of spontaneous multi-turn conversational dialogue Chinese-English code-switching corpus collected in Hong Kong. ASCEND consists of 10.62 hours of spontaneous speech with a total of ~12.3K utterances. The corpus is split into 3 sets: training, validation, and test with a ratio of 8:1:1 while maintaining a balanced gender proportion on each set.… See the full description on the dataset page: https://huggingface.co/datasets/CAiRE/ASCEND.ascend
Dataset Card for ASCEND
Dataset Summary
ASCEND (A Spontaneous Chinese-English Dataset) introduces a high-quality resource of spontaneous multi-turn conversational dialogue Chinese-English code-switching corpus collected in Hong Kong. ASCEND consists of 10.62 hours of spontaneous speech with a total of ~12.3K utterances. The corpus is split into 3 sets: training, validation, and test with a ratio of 8:1:1 while maintaining a balanced gender proportion on each set.… See the full description on the dataset page: https://huggingface.co/datasets/filwsyl/ascend.ASCEND-phoneme
Dataset Summary
This dataset is a modified version of the ASCEND dataset which consists of spontaneous Mandarin-English code-switched speech. The ASCEND dataset was published by Lovenia et al. (2022) (Check here for the dataset and here for the paper).
This dataset adds a phonetic transcription column to the dataset using the eSpeak backend from the phonemizer library created by Bernard et al. (2021) (Check it out here).
the following documentation is a modified version of… See the full description on the dataset page: https://huggingface.co/datasets/katyayego/ASCEND-phoneme.accent-voice-test
Nyra Disfluency Speech German
nyrahealth/disfluency_speech_german is a German speech dataset for evaluating verbatim ASR: models that should transcribe not only the intended words, but also fillers, cutoffs, repetitions, and sound events.
This dataset was recorded in-house by two Nyra researchers, Berns and Laurin, with the goal of producing natural disfluent German speech similar in spirit to the English AMAAI Lab DisfluencySpeech dataset.
Like the English release, it is… See the full description on the dataset page: https://huggingface.co/datasets/Ascyii/accent-voice-test.