---
title: "DiarizationModel"
sidebar_label: "DiarizationModel"
description: "The clika_runtime.modelverse DiarizationModel class."
---

<!-- Generated by tools/api_reference/generate_api_docs.py. Do not edit. -->

A loaded speaker-diarization model: a 16 kHz mono clip in, who spoke
    when out.

## `sample_rate` (property)

The sample rate every waveform is read at, 16000 Hz: a path or an
encoded payload is decoded and resampled to it; a tensor is taken as
already at it.

## `diarize`

```python
diarize(self, audio: 'str | bytes | clika_runtime.Tensor', *, streaming: 'bool' = False, streaming_mode: 'str' = '', threshold: 'float' = 0.5) -> 'list[Any]'
```

Who spoke when, in time order, as :class:`SpeakerSegment` rows
(``speaker``, ``start`` and ``end`` in seconds). ``audio`` is an audio
file path, an encoded payload (bytes), or a ``[S]`` Float32 tensor at
16 kHz. ``streaming`` runs chunk by chunk with the speaker cache, as a
live stream does, ``streaming_mode`` naming the latency mode (the
checkpoint's default when empty); ``threshold`` in (0, 1) is the
activity a frame needs to count for a speaker.