---
license: apache-2.0
task_categories:
- text-to-speech
language:
- en
size_categories:
- 1M<n<10M
dataset_info:
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 44100
  - name: text
    dtype: string
  - name: speaker_id
    dtype: string
  splits:
  - name: train
configs:
- config_name: default
  data_files:
  - split: train
    path:
    - data/train-*.parquet
---

# echo-clones-4m-en

~4 M English TTS clone utterances generated with
[EchoTTS (jordand/echo-tts-base)](https://huggingface.co/jordand/echo-tts-base).

- **Sample rate**: 44 100 Hz, 16-bit PCM WAV stored in Parquet
- **Speakers**: 4 000 reference speakers (spk_0000-spk_3999)
- **Text bucketing**: quip (<=100 chars), mid (100-300), ramble (300-420)
- **Speaker assignment**: round-robin -- text[i] -> spk_{i % 4000}

## Companion datasets

- **Reference speakers**: [SynData-2/echo-ref-speakers-4k-en](https://huggingface.co/datasets/SynData-2/echo-ref-speakers-4k-en) -- the 4 000 reference WAVs used as speaker conditioning
- **Text source**: [SynData-2/echo-4m-text-en](https://huggingface.co/datasets/SynData-2/echo-4m-text-en) -- the 4 M input texts