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Inflect VoxCPM2 Synthetic English v1

Synthetic English speech dataset generated with openbmb/VoxCPM2.

Dataset Summary

This is a multi-voice synthetic English speech dataset prepared for:

  • TTS fine-tuning
  • voice-cloning research
  • synthesis benchmarking
  • stability, robustness, and post-processing experiments

The audio in this release is synthetic. It is not a corpus of naturally recorded human speech.

Dataset Structure

  • train/metadata.csv: public release manifest for the train split
  • train/audio/<voice_id>/*.wav: audio files organized by voice id
  • README.md: dataset card and usage terms
  • LICENSE_NOTICE.txt: short release notice
  • dataset_stats.json: summary statistics for the release
  • CITATION.cff: citation metadata

Release Statistics

Field Value
Rows 59996
Distinct voices 56
Approx total hours 111.81
Avg clip duration (s) 6.71
Source model openbmb/VoxCPM2
Language English
HF repo owensong/voxcpm2-synthetic-en-v1

Example voices:

adam_american, adam_scottish, addison_2_0, aerisita, ak, alex, amelia, amy, arabella, arthur_american, austin, belinda, bradford, charlotte, christina, chuck_miller, clara, david_american, david_australian, denzel, ...

Category Distribution

  • conversational: 16975
  • narrative: 11710
  • long: 7000
  • short: 5319
  • descriptive: 5310
  • emotional: 5237
  • instructional: 2023
  • technical: 1800
  • question: 1735
  • dialogue: 1653
  • punctuation: 1234

Generation Mode Distribution

  • ultimate: 59996

Columns

Column Description
file_name Relative path to the WAV file inside the split directory
sample_id Stable per-sample id derived from the filename
text Intended spoken transcript
voice_id Prompt/reference voice identifier
category Prompt/content bucket
generation_mode Generation mode used for synthesis
language Language code (en)
synthetic Always true for this release
source_model Model used to generate the synthetic speech
dataset_version Local dataset snapshot/version label
duration_s Clip duration in seconds
cfg_value CFG value used during generation when available
speaker_gender Optional prompt metadata
speaker_accent Optional prompt metadata
speaker_style Optional prompt metadata
control_instruction Optional voice-design instruction
prompt_text Optional reference prompt transcript
generated_at Generation timestamp recorded locally

Intended Uses

  • TTS and voice-cloning research
  • fine-tuning and adaptation experiments
  • benchmarking synthesis quality, stability, and robustness
  • speech enhancement and post-processing experiments
  • evaluation of expressive or long-form synthesis systems

Out-of-Scope Uses

  • impersonation of real people
  • fraud, deception, scams, or voice phishing
  • surveillance or biometric speaker identification
  • any use that misrepresents this dataset as natural human-recorded speech

License and Usage

This dataset is released under custom terms (license: other).

Permitted Use

You may use this dataset for:

  • research
  • non-commercial experimentation
  • benchmarking and evaluation
  • training or fine-tuning text-to-speech and voice-cloning systems
  • academic, educational, and personal projects

Attribution Requirement

If you use this dataset in a paper, model, demo, application, repository, benchmark, blog post, or derivative dataset, you must provide attribution.

Recommended attribution format:

  • Inflect VoxCPM2 Synthetic English v1
  • Hugging Face dataset page: owensong/voxcpm2-synthetic-en-v1
  • Description: synthetic English speech dataset generated with VoxCPM2

Prohibited Use

You may not use this dataset for:

  • impersonation, fraud, deception, or voice phishing
  • generating misleading or non-consensual synthetic media
  • biometric identification, speaker surveillance, or identity verification of real people
  • unlawful, harmful, or abusive voice-cloning applications
  • redistributing the dataset as-is, or under a different name, without permission
  • representing the audio as human-recorded natural speech

Commercial Use

Commercial use is not permitted without separate written permission from the dataset publisher.

Nature of the Data

This dataset contains synthetic English speech, not human-recorded source speech. It is intended for TTS, voice-cloning, benchmarking, and related speech research. Users should evaluate suitability for their own use case and should not treat this dataset as a ground-truth corpus of natural human speech behavior.

Limitations

  • The reference prompt audio used during generation is not included in this release.
  • Synthetic audio quality and behavior reflect the strengths and weaknesses of the upstream generator and prompt setup.
  • This release is best understood as a synthetic training/evaluation resource, not as a substitute for carefully licensed natural speech corpora.
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