---
license: apache-2.0
language:
- en
tags:
- speaker-prompts
- voice-cloning
- zero-shot-tts
- cosyvoice
pretty_name: GigaSpeech Speaker Prompts v2 (one-per-opus)
size_categories:
- 1K<n<10K
---

# GigaSpeech Speaker Prompts v2 (one-per-opus)

A pool of **9,989 single-segment English voice prompts** curated from
[GigaSpeech](https://github.com/SpeechColab/GigaSpeech) for use as
**zero-shot voice-cloning references** (CosyVoice3, XTTS, etc.).

Compared to our v1 pool (10k segments, segment-biased: at most 27 segments
could come from the same podcast/youtube opus, so the *effective* speaker
count was only ~6,206), this v2 pool enforces **one segment per unique
GigaSpeech opus**, dramatically increasing acoustic diversity.

## Contents

The repo ships as a single tarball:

- **`gigaspeech_speaker_prompts_v2.tar`** (~2.3 GB, uncompressed — wav data
  does not meaningfully compress)
- **`gigaspeech_speaker_prompts_v2.tar.sha256`** — sha256 checksum

Extract to get:

```
gigaspeech_speaker_prompts/
├── speaker_index.json        # 9989-entry array, schema below
├── diversity_report.json     # audit report (v1 vs v2 diversity stats)
├── POD0000006662_S0000002.wav
├── YOU0000016358_S0001024.wav
└── ... (9989 total .wav, 16 kHz mono, ~6-12s each)
```

### `speaker_index.json` schema

```json
[
  {
    "speaker_id": "POD0000006662_S0000002",
    "wav_path": "/absolute/path/to/POD0000006662_S0000002.wav",  // absolute path on original machine; ignore
    "text": "uber infrastructure runs across thousands of server instances and produces terabytes of monitoring data",
    "gender": "unknown",
    "accent": "unknown",
    "domain": "podcast",
    "duration_s": 7.11
  },
  ...
]
```

- `wav_path` is the **absolute path on the machine that built this pool** —
  downstream code should reconstruct the path as `<your_local_dir>/<speaker_id>.wav`.
- `gender` / `accent` are `"unknown"` because GigaSpeech does not ship those
  labels; they are kept for schema compatibility with VCTK-style prompt pools.
- `domain ∈ {"podcast", "youtube", "audiobook"}` inherited from the
  GigaSpeech opus_id prefix (`POD`/`YOU`/`AUD`).
- `duration_s` is the segment length (all segments are in the 6-12 s sweet
  spot that CosyVoice3 likes as a reference).

## Intended use

This was built to back the voice-cloning reference pool for:

- `rag_tts_multispeaker_noise.py` (InfiniSST) — random `Random(line_idx).choice(pool)`
  per utterance, so every synthetic utterance gets a different speaker.
- Any zero-shot TTS pipeline that takes `(ref_text, ref_audio)` as input.

Previous alternative was a VCTK-based pool of ~100 speakers (studio English,
too narrow). This v2 pool is ~100× larger and covers wild podcast / YouTube
acoustic conditions, which reduced speaker over-fitting in downstream
speech-LLM training (see run `43871` in the InfiniSST WandB).

## Quick start

```bash
# Download
hf download --repo-type dataset gavinlaw/gigaspeech_speaker_prompts_v2 \
    gigaspeech_speaker_prompts_v2.tar \
    --local-dir ./

# Verify
sha256sum -c gigaspeech_speaker_prompts_v2.tar.sha256

# Extract
tar -xf gigaspeech_speaker_prompts_v2.tar
```

Then point your TTS script at `./gigaspeech_speaker_prompts/`.

## Source & license

All underlying audio is extracted from **[GigaSpeech](https://github.com/SpeechColab/GigaSpeech)**
(Apache-2.0). This repo redistributes short 6-12 s segments under the same
Apache-2.0 license. Please cite the original GigaSpeech paper if you use
this pool in research:

> *GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of
> Transcribed Audio* (Chen et al., Interspeech 2021).