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nytopop
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expresso-norm-merged-full-8192

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8.19k
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Info about this dataset

This is the complete expresso dataset, merged from the following sources:

All audio was resampled to 24khz, RMS normalized to a target RMS 0.1, and encoded with SNAC as orpheus codebooks. Conversational turns from the improvised subset are arranged as multi-turn windows, up to a maximum context length of 8192 tokens.

Each turn is tokenized in orpheus layout. Plaintext prefixes are used to indicate speaker / style information of each example. That is, text prompts of each turn are of the form:

  • speaker: [style] transcript

Except for the default, essentials, and emphasis styles, for which the [style] tag is omitted (all are variations of default in the same delivered style with in-text markup).

Speaker IDs are renamed as follows:

speaker_id speaker
ex01 jack
ex02 lisa
ex03 bert
ex04 emma

The merged split contains all rows in improv and read (37.96 hours, 28,348 turns, 12,201,313 tokens).

The improv split contains improvised conversational examples <= 8192 tokens (27.23 hours, 16,785 turns, 8,715,544 tokens).

The improv_4096 split contains improvised conversational examples <= 4096 tokens (25.97 hours, 16,710 turns, 8,326,425 tokens).

The improv_2048 split contains improvised conversational examples <= 2048 token s (21.81 hours, 16,232 turns, 7,034,175 tokens).

The read split contains read speech examples (10.74 hours, 11,563 turns, 3,485,769 tokens).

Style stats by split

Style Read (turns) Improv (turns) Total (turns)
confused 1515 567 2082
default 2475 1213 3688
enunciated 1500 762 2262
happy 1519 639 2158
laughing 1519 804 2323
sad 1518 1082 2600
whisper 1517 806 2323
animaldir - 386 386
animal - 312 312
childdir - 394 394
child - 342 342
disgusted - 1073 1073
sympathetic - 1067 1067
narration - 394 394
projected - 1195 1195
fast - 1065 1065
angry - 695 695
sarcastic - 757 757
calm - 880 880
desire - 195 195
nonverbal - 327 327
fearful - 394 394
awe - 648 648
bored - 274 274
sleepy - 514 514

The Expresso Dataset

[paper] [demo samples] [Original repository]

Introduction

The Expresso dataset is a high-quality (48kHz) expressive speech dataset that includes both expressively rendered read speech (8 styles, in mono wav format) and improvised dialogues (26 styles, in stereo wav format). The dataset includes 4 speakers (2 males, 2 females), and totals 40 hours (11h read, 30h improvised). The transcriptions of the read speech are also provided.

You can listen to samples from the Expresso Dataset at this website.

Audio Quality

The audio was recorded in a professional recording studio with minimal background noise at 48kHz/24bit. The files for read speech and singing are in a mono wav format; and for the dialog section in stereo (one channel per actor), where the original flow of turn-taking is preserved.

License

The Expresso dataset is distributed under the CC BY-NC 4.0 license.

Reference

For more information, see the paper: EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis, Tu Anh Nguyen*, Wei-Ning Hsu*, Antony D'Avirro*, Bowen Shi*, Itai Gat, Maryam Fazel-Zarani, Tal Remez, Jade Copet, Gabriel Synnaeve, Michael Hassid, Felix Kreuk, Yossi Adi⁺, Emmanuel Dupoux⁺, INTERSPEECH 2023.
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