maskgct / egs /datasets /README.md
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Datasets Format

Amphion support the following academic datasets (sort alphabetically):

The downloading link and the file structure tree of each dataset is displayed as follows.

Note: When using Docker to run Amphion, mount the dataset to the container is necessary after downloading. Check Mount dataset in Docker container for more details.

AudioCaps

AudioCaps is a dataset of around 44K audio-caption pairs, where each audio clip corresponds to a caption with rich semantic information.

Download AudioCaps dataset here. The file structure looks like below:

[AudioCaps dataset path]
┣ AudioCpas
┃ ┣ wav
┃ ┃ ┣ ---1_cCGK4M_0_10000.wav
┃ ┃ ┣ ---lTs1dxhU_30000_40000.wav
┃ ┃ ┣ ...

CSD

Download the official CSD dataset here. The file structure looks like below:

[CSD dataset path]
 ┣ english
 ┣ korean
 ┣ utterances
 ┃ ┣ en001a
 ┃ ┃ ┣ {UtterenceID}.wav
 ┃ ┣ en001b
 ┃ ┣ en002a
 ┃ ┣ en002b
 ┃ ┣ ...
 ┣ README

CustomSVCDataset

We support custom dataset for Singing Voice Conversion. Organize your data in the following structure to construct your own dataset:

[Your Custom Dataset Path]
 ┣ singer1
 ┃ ┣ song1
 ┃ ┃ ┣ utterance1.wav
 ┃ ┃ ┣ utterance2.wav
 ┃ ┃ ┣ ...
 ┃ ┣ song2
 ┃ ┣ ...
 ┣ singer2
 ┣ ...

Hi-Fi TTS

Download the official Hi-Fi TTS dataset here. The file structure looks like below:

[Hi-Fi TTS dataset path]
 ┣ audio
 ┃ ┣ 11614_other {Speaker_ID}_{SNR_subset}
 ┃ ┃ ┣ 10547 {Book_ID}
 ┃ ┃ ┃ ┣ thousandnights8_04_anonymous_0001.flac
 ┃ ┃ ┃ ┣ thousandnights8_04_anonymous_0003.flac
 ┃ ┃ ┃ ┣ thousandnights8_04_anonymous_0004.flac
 ┃ ┃ ┃ ┣ ...
 ┃ ┃ ┣ ...
 ┃ ┣ ...
 ┣ 92_manifest_clean_dev.json
 ┣ 92_manifest_clean_test.json
 ┣ 92_manifest_clean_train.json
 ┣ ...
 ┣ {Speaker_ID}_manifest_{SNR_subset}_{dataset_split}.json
 ┣ ...
 ┣ books_bandwidth.tsv
 ┣ LICENSE.txt
 ┣ readers_books_clean.txt
 ┣ readers_books_other.txt
 ┣ README.txt

KiSing

Download the official KiSing dataset here. The file structure looks like below:

[KiSing dataset path]
 ┣ clean
 ┃ ┣ 421
 ┃ ┣ 422
 ┃ ┣ ...

LibriLight

Download the official LibriLight dataset here. The file structure looks like below:

[LibriTTS dataset path]
 ┣ small (Subset)
 ┃ ┣ 100 {Speaker_ID}
 ┃ ┃ ┣ sea_fairies_0812_librivox_64kb_mp3 {Chapter_ID}
 ┃ ┃ ┃ ┣ 01_baum_sea_fairies_64kb.flac
 ┃ ┃ ┃ ┣ 02_baum_sea_fairies_64kb.flac
 ┃ ┃ ┃ ┣ 03_baum_sea_fairies_64kb.flac
 ┃ ┃ ┃ ┣ 22_baum_sea_fairies_64kb.flac
 ┃ ┃ ┃ ┣ 01_baum_sea_fairies_64kb.json
 ┃ ┃ ┃ ┣ 02_baum_sea_fairies_64kb.json
 ┃ ┃ ┃ ┣ 03_baum_sea_fairies_64kb.json
 ┃ ┃ ┃ ┣ 22_baum_sea_fairies_64kb.json
 ┃ ┃ ┃ ┣ ...
 ┃ ┃ ┣ ...
 ┃ ┣ ...
 ┣ medium (Subset)
 ┣ ...

LibriTTS

Download the official LibriTTS dataset here. The file structure looks like below:

[LibriTTS dataset path]
 ┣ BOOKS.txt
 ┣ CHAPTERS.txt
 ┣ eval_sentences10.tsv
 ┣ LICENSE.txt
 ┣ NOTE.txt
 ┣ reader_book.tsv
 ┣ README_librispeech.txt
 ┣ README_libritts.txt 
 ┣ speakers.tsv
 ┣ SPEAKERS.txt
 ┣ dev-clean (Subset)
 ┃ ┣ 1272{Speaker_ID}
 ┃ ┃ ┣ 128104 {Chapter_ID}
 ┃ ┃ ┃ ┣ 1272_128104_000001_000000.normalized.txt
 ┃ ┃ ┃ ┣ 1272_128104_000001_000000.original.txt
 ┃ ┃ ┃ ┣ 1272_128104_000001_000000.wav
 ┃ ┃ ┃ ┣ ...
 ┃ ┃ ┃ ┣ 1272_128104.book.tsv
 ┃ ┃ ┃ ┣ 1272_128104.trans.tsv
 ┃ ┃ ┣ ...
 ┃ ┣ ...
 ┣ dev-other (Subset)
 ┃ ┣ 116 (Speaker)
 ┃ ┃ ┣ 288045 {Chapter_ID}
 ┃ ┃ ┃ ┣ 116_288045_000003_000000.normalized.txt
 ┃ ┃ ┃ ┣ 116_288045_000003_000000.original.txt
 ┃ ┃ ┃ ┣ 116_288045_000003_000000.wav
 ┃ ┃ ┃ ┣ ...
 ┃ ┃ ┃ ┣ 116_288045.book.tsv
 ┃ ┃ ┃ ┣ 116_288045.trans.tsv
 ┃ ┃ ┣ ...
 ┃ ┣ ...
 ┃ ┣ ...
 ┣ test-clean  (Subset)
 ┃ ┣ {Speaker_ID}
 ┃ ┃ ┣ {Chapter_ID}
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}_{Utterance_ID}.normalized.txt
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}_{Utterance_ID}.original.txt
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}_{Utterance_ID}.wav
 ┃ ┃ ┃ ┣ ...
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}.book.tsv
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}.trans.tsv
 ┃ ┃ ┣ ...
 ┃ ┣ ...
 ┣ test-other
 ┃ ┣ {Speaker_ID}
 ┃ ┃ ┣ {Chapter_ID}
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}_{Utterance_ID}.normalized.txt
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}_{Utterance_ID}.original.txt
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}_{Utterance_ID}.wav
 ┃ ┃ ┃ ┣ ...
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}.book.tsv
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}.trans.tsv
 ┃ ┃ ┣ ...
 ┃ ┣ ...
 ┣ train-clean-100
 ┃ ┣ {Speaker_ID}
 ┃ ┃ ┣ {Chapter_ID}
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}_{Utterance_ID}.normalized.txt
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}_{Utterance_ID}.original.txt
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}_{Utterance_ID}.wav
 ┃ ┃ ┃ ┣ ...
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}.book.tsv
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}.trans.tsv
 ┃ ┃ ┣ ...
 ┃ ┣ ...
 ┣ train-clean-360
 ┃ ┣ {Speaker_ID}
 ┃ ┃ ┣ {Chapter_ID}
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}_{Utterance_ID}.normalized.txt
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}_{Utterance_ID}.original.txt
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}_{Utterance_ID}.wav
 ┃ ┃ ┃ ┣ ...
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}.book.tsv
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}.trans.tsv
 ┃ ┃ ┣ ...
 ┃ ┣ ...
 ┣ train-other-500
 ┃ ┣ {Speaker_ID}
 ┃ ┃ ┣ {Chapter_ID}
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}_{Utterance_ID}.normalized.txt
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}_{Utterance_ID}.original.txt
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}_{Utterance_ID}.wav
 ┃ ┃ ┃ ┣ ...
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}.book.tsv
 ┃ ┃ ┃ ┣ {Speaker_ID}_{Chapter_ID}.trans.tsv
 ┃ ┃ ┣ ...
 ┃ ┣ ...

LJSpeech

Download the official LJSpeech dataset here. The file structure looks like below:

[LJSpeech dataset path]
 ┣ metadata.csv
 ┣ wavs
 ┃ ┣ LJ001-0001.wav
 ┃ ┣ LJ001-0002.wav 
 ┃ ┣ ...
 ┣ README

M4Singer

Download the official M4Singer dataset here. The file structure looks like below:

[M4Singer dataset path]
 ┣ {Singer_1}#{Song_1}
 ┃ ┣ 0000.mid
 ┃ ┣ 0000.TextGrid
 ┃ ┣ 0000.wav
 ┃ ┣ ...
 ┣ {Singer_1}#{Song_2}
 ┣ ...
 ┣ {Singer_2}#{Song_1}
 ┣ {Singer_2}#{Song_2}
 ┣ ...
 β”— meta.json

NUS-48E

Download the official NUS-48E dataset here. The file structure looks like below:

[NUS-48E dataset path]
 ┣ {SpeakerID}
 ┃ ┣ read
 ┃ ┃ ┣ {SongID}.txt
 ┃ ┃ ┣ {SongID}.wav
 ┃ ┃ ┣ ...
 ┃ ┣ sing
 ┃ ┃ ┣ {SongID}.txt
 ┃ ┃ ┣ {SongID}.wav
 ┃ ┃ ┣ ...
 ┣ ...
 ┣ README.txt

Opencpop

Download the official Opencpop dataset here. The file structure looks like below:

[Opencpop dataset path]
 ┣ midis
 ┃ ┣ 2001.midi
 ┃ ┣ 2002.midi
 ┃ ┣ 2003.midi
 ┃ ┣ ...
 ┣ segments
 ┃ ┣ wavs
 ┃ ┃ ┣ 2001000001.wav
 ┃ ┃ ┣ 2001000002.wav
 ┃ ┃ ┣ 2001000003.wav
 ┃ ┃ ┣ ...
 ┃ ┣ test.txt
 ┃ ┣ train.txt
 ┃ β”— transcriptions.txt
 ┣ textgrids
 ┃ ┣ 2001.TextGrid
 ┃ ┣ 2002.TextGrid
 ┃ ┣ 2003.TextGrid
 ┃ ┣ ...
 ┣ wavs
 ┃ ┣ 2001.wav
 ┃ ┣ 2002.wav
 ┃ ┣ 2003.wav
 ┃ ┣ ...
 ┣ TERMS_OF_ACCESS
 β”— readme.md

OpenSinger

Download the official OpenSinger dataset here. The file structure looks like below:

[OpenSinger dataset path]
 ┣ ManRaw
 ┃ ┣ {Singer_1}_{Song_1}
 ┃ ┃ ┣ {Singer_1}_{Song_1}_0.lab
 ┃ ┃ ┣ {Singer_1}_{Song_1}_0.txt
 ┃ ┃ ┣ {Singer_1}_{Song_1}_0.wav
 ┃ ┃ ┣ ...
 ┃ ┣ {Singer_1}_{Song_2}
 ┃ ┣ ...
 ┣ WomanRaw
 ┣ LICENSE
 β”— README.md

Opera

Download the official Opera dataset here. The file structure looks like below:

[Opera dataset path]
 ┣ monophonic
 ┃ ┣ chinese
 ┃ ┃ ┣ {Gender}_{SingerID}
 ┃ ┃ ┃ ┣ {Emotion}_{SongID}.wav
 ┃ ┃ ┃ ┣ ...
 ┃ ┃ ┣ ...
 ┃ ┣ western
 ┣ polyphonic
 ┃ ┣ chinese
 ┃ ┣ western
 ┣ CrossculturalDataSet.xlsx

PopBuTFy

Download the official PopBuTFy dataset here. The file structure looks like below:

[PopBuTFy dataset path]
 ┣ data
 ┃ ┣ {SingerID}#singing#{SongName}_Amateur
 ┃ ┃ ┣ {SingerID}#singing#{SongName}_Amateur_{UtteranceID}.mp3
 ┃ ┃ ┣ ...
 ┃ ┣ {SingerID}#singing#{SongName}_Professional
 ┃ ┃ ┣ {SingerID}#singing#{SongName}_Professional_{UtteranceID}.mp3
 ┃ ┃ ┣ ...
 ┣ text_labels
 β”— TERMS_OF_ACCESS

PopCS

Download the official PopCS dataset here. The file structure looks like below:

[PopCS dataset path]
 ┣ popcs
 ┃ ┣ popcs-{SongName}
 ┃ ┃ ┣ {UtteranceID}_ph.txt
 ┃ ┃ ┣ {UtteranceID}_wf0.wav
 ┃ ┃ ┣ {UtteranceID}.TextGrid
 ┃ ┃ ┣ {UtteranceID}.txt
 ┃ ┃ ┣ ...
 ┃ ┣ ...
 β”— TERMS_OF_ACCESS

PJS

Download the official PJS dataset here. The file structure looks like below:

[PJS dataset path]
 ┣ PJS_corpus_ver1.1
 ┃ ┣ background_noise
 ┃ ┣ pjs{SongID}
 ┃ ┃ ┣ pjs{SongID}_song.wav
 ┃ ┃ ┣ pjs{SongID}_speech.wav
 ┃ ┃ ┣ pjs{SongID}.lab
 ┃ ┃ ┣ pjs{SongID}.mid
 ┃ ┃ ┣ pjs{SongID}.musicxml
 ┃ ┃ ┣ pjs{SongID}.txt
 ┃ ┣ ...

SVCC

Download the official SVCC dataset here. The file structure looks like below:

[SVCC dataset path]
 ┣ Data
 ┃ ┣ CDF1
 ┃ ┃ ┣ 10001.wav
 ┃ ┃ ┣ 10002.wav
 ┃ ┃ ┣ ...
 ┃ ┣ CDM1
 ┃ ┣ IDF1
 ┃ ┣ IDM1
 β”— README.md

VCTK

Download the official VCTK dataset here. The file structure looks like below:

[VCTK dataset path]
 ┣ txt
 ┃ ┣ {Speaker_1}
 ┃ ┃ ┣ {Speaker_1}_001.txt
 ┃ ┃ ┣ {Speaker_1}_002.txt
 ┃ ┃ ┣ ...
 ┃ ┣ {Speaker_2}
 ┃ ┣ ...
 ┣ wav48_silence_trimmed
 ┃ ┣ {Speaker_1}
 ┃ ┃ ┣ {Speaker_1}_001_mic1.flac
 ┃ ┃ ┣ {Speaker_1}_001_mic2.flac
 ┃ ┃ ┣ {Speaker_1}_002_mic1.flac
 ┃ ┃ ┣ ...
 ┃ ┣ {Speaker_2}
 ┃ ┣ ...
 ┣ speaker-info.txt
 β”— update.txt