---
license: cc-by-4.0
language:
- en
task_categories:
- automatic-speech-recognition
pretty_name: Background Conversations
tags:
- speaker-isolation
- target-speaker-asr
- background-speech
- test-set
- hebrish
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*.parquet
---

# Background Conversations

<!-- dataset-card-frame:begin -->
[![Type: Audio](https://img.shields.io/badge/Type-Audio-1f6feb)](https://huggingface.co/datasets/Hebrish/Dataset-Index) [![Role: Standalone](https://img.shields.io/badge/Role-Standalone-8250df)](https://huggingface.co/datasets/Hebrish/Dataset-Index)

**Audio dataset, standalone.** Kept apart from the master dataset and its split-outs. Every audio dataset as one tree, with hours: [the audio index](https://huggingface.co/datasets/danielrosehill/Audio-Dataset-Index). How every dataset fits together: [the dataset index](https://huggingface.co/datasets/Hebrish/Dataset-Index).
<!-- dataset-card-frame:end -->

A small **test-only** set for target-speaker ASR: one person (the foreground speaker) dictates into a phone while other
people talk, a baby cries and household devices make noise in the same room. The transcript is the foreground speaker's
words only. Everything else is what a model, or a speaker-isolation front end before it, should leave out.

It is never trained on. It is for checking how a dictation model, or a voice-isolation step, copes with real rooms.

## Data

- **1 clip(s), 3.1 min**, split `test` only.
- Audio: FLAC, 48 kHz, 16-bit, mono, converted from phone voice notes (Opus).
- `text`: foreground speech, verbatim, punctuated and cased. `transcript_status` is `pending` until the speaker has
  checked it against the audio, then `reviewed`.
- `model_hypothesis` / `asr_model`: the untouched first-pass transcript the draft started from.
- `noise_flags`: what is audible behind the speaker (`background-speech`, `baby-crying`, `device-voice-prompt`, ...).
- `extra` (JSON text): `background_sources` (who or what is in the background), `diarized` (false: the background speech
  has no transcript or segment labels yet), `source_file`.

Columns follow the Hebrish audio format standard (`audio.schema.json` in this repo). There is no `sentences` tab: these are
free speech, not read sentences.

## Licence

CC-BY-4.0.