---
license: cc-by-nc-4.0
task_categories:
- automatic-speech-recognition
- audio-to-audio
- text-to-speech
language:
- en
- ha
- ig
- sw
- yo
tags:
- full-duplex
- conversational-speech
- spoken-dialogue
- code-switching
- nigerian-pidgin
- african-languages
- synthetic
size_categories:
- 10K<n<100K
---

# GRIOT Duplex v1

Two-channel (full-duplex) synthetic call-centre conversations, built for training and
evaluating **full-duplex spoken dialogue models** — models that listen and speak at the
same time rather than taking strict turns.

Each file is one complete conversation with **one speaker per channel**, so overlaps,
interruptions, backchannels ("mm-hm", "right") and silences are preserved exactly as they
occur in time. Single-channel corpora lose this.

The repository holds **two distinct corpora**. They are not interchangeable and are kept
in separate directories for that reason.

| | `audio/` — long-form | `shortform/audio/` — short-form |
|---|---|---|
| Conversations | **2,890** | **8,667** |
| Total audio | **496.0 h** | **96.8 h** |
| Languages | English + Nigerian Pidgin | en, ha, ig, sw, yo |
| Median length | 10.1 min | ~40 s |
| Turns | 216,688 | — |

Format throughout: **FLAC, 24 kHz, 2 channels, PCM_16.**

## Layout

```
audio/                            2,890 long-form FLAC
render_omnivoice_emotion.json     timing sheet for all 2,890
data/                             prior timing sheets, kept for provenance
shortform/audio/<lang>/           8,667 short-form FLAC, 5 languages
shortform/data/<lang>/            per-shard render records
shortform/*.json                  ledgers and voice pools
```

**Channel layout** — channel 0 (left) is the agent, channel 1 (right) is the customer.

## The timing sheet

`render_omnivoice_emotion.json` records, per conversation: duration, turn count,
**`placements`** — the `(channel, start, duration)` of every turn — plus speaker voices,
emotion labels, per-speaker code-switch level, conversation policy and hold placements.

`placements` is the field that makes the corpus usable for duplex training: without it
there is no way to locate a given speaker's turns inside the stereo file. **Every one of
the 2,890 rows carries it**, and the manifest ID set and the audio ID set match exactly in
both directions.

Long-form conversation policies: `hold` 1,305, `converge` 996, `match` 589.
Median inter-turn gap 60 ms.

## Both channels are wideband

An earlier release of the long-form corpus applied a simulated narrowband telephone effect
(300-3400 Hz band-pass plus an 8 kHz round trip) to **both** channels on the conversations
whose scene planned a phone call. That was wrong: the agent channel is the generation
target for a duplex model, and band-limiting it teaches the model to produce narrowband
speech. Only a caller's incoming audio is genuinely band-limited.

Those conversations were withdrawn and replaced. Measured on the current release, the
`phone_8k`-planned conversations carry 41-44% of their energy below 300 Hz and roll off at
4.6-5.0 kHz - against 0.5% and 3.0 kHz for the withdrawn versions. **Both channels are
wideband throughout.** The planned channel is still recorded per conversation, so anyone
who wants a band-limited caller side can apply it themselves.

## Intended use

Training and evaluation of full-duplex speech-to-speech models, turn-taking and backchannel
prediction, overlap-robust ASR, and conversational TTS. Part of a wider effort to build
full-duplex dialogue systems for African languages.

## Limitations

- Synthetic speech. Prosody and disfluency are less varied than real recordings.
- Emotion labels are weak. They describe what was intended for a speaker, and where a
  conversation's text did not support the intended emotion the label was reset to
  neutral. Do not treat them as ground truth.
- Domain is customer service. It will not represent casual or domestic speech.
- Code-switching is generated, not naturally occurring.
- The short-form and long-form corpora were produced separately and differ in length,
  language coverage and character. Do not pool them without checking that your use
  case tolerates the difference.

## Licence and attribution

Released under **CC BY-NC 4.0** — non-commercial use only, with attribution.

The non-commercial restriction is **inherited and must be passed on**. Components used in
producing this dataset carry non-commercial terms of their own, so any derivative you
build from it must remain non-commercial.

## Access

Access is gated. Requests are reviewed manually.