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> Use this file to discover all available pages before exploring further.

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# audio

> <a href="https://github.com/pixeltable/pixeltable/blob/main/pixeltable/functions/audio.py#L0" id="viewSource" target="_blank" rel="noopener noreferrer"><img src="https://img.shields.io/badge/View%20Source%20on%20Github-blue?logo=github&labelColor=gray" alt="View Source on GitHub" style={{ display: 'inline', margin: '0px' }} noZoom /></a>

# <span style={{ 'color': 'gray' }}>module</span>  pixeltable.functions.audio

Pixeltable UDFs for `AudioType`.

## <span style={{ 'color': 'gray' }}>iterator</span>  audio\_splitter()

```python Signature theme={null}
@pxt.iterator
audio_splitter(
    audio: pxt.Audio,
    duration: pxt.Float,
    *,
    overlap: pxt.Float = 0.0,
    min_segment_duration: pxt.Float = 0.0
)
```

Iterator over segments of an audio file. The audio file is split into smaller segments,
where the duration of each segment is determined by `duration`.

If the input contains no audio, no segments are yielded.

**Outputs**:

One row per audio segment, with the following columns:

* `segment_start` (`pxt.Float`): Start time of the audio segment in seconds
* `segment_end` (`pxt.Float`): End time of the audio segment in seconds
* `audio_segment` (`pxt.Audio | None`): The audio content of the segment

**Parameters:**

* **`duration`** (`pxt.Float`): Audio segment duration in seconds
* **`overlap`** (`pxt.Float`): Overlap between consecutive segments in seconds
* **`min_segment_duration`** (`pxt.Float`): Drop the last segment if it is smaller than `min_segment_duration`

**Examples:**

This example assumes an existing table `tbl` with a column `audio` of type `pxt.Audio`. Create a view that splits all audio files into segments of 30 seconds with 5 seconds overlap:

```python  theme={null}
pxt.create_view(
    'audio_segments',
    tbl,
    iterator=audio_splitter(tbl.audio, duration=30.0, overlap=5.0),
)
```

## <span style={{ 'color': 'gray' }}>udf</span>  encode\_audio()

```python Signature theme={null}
@pxt.udf
encode_audio(
    audio_data: pxt.Array[float32],
    *,
    input_sample_rate: pxt.Int,
    format: pxt.String,
    output_sample_rate: pxt.Int | None = None
) -> pxt.Audio
```

Encodes an audio clip represented as an array into a specified audio format.

**Parameters:**

* **`audio_data`** (`pxt.Array[float32]`): An array of sampled amplitudes. The accepted array shapes are `(N,)` or `(1, N)` for mono audio
  or `(2, N)` for stereo.
* **`input_sample_rate`** (`pxt.Int`): The sample rate of the input audio data.
* **`format`** (`pxt.String`): The desired output audio format. The supported formats are 'wav', 'mp3', 'flac', and 'mp4'.
* **`output_sample_rate`** (`pxt.Int | None`): The desired sample rate for the output audio. Defaults to the input sample rate if
  unspecified.

**Examples:**

Add a computed column with encoded FLAC audio files to a table with audio data (as arrays of floats) and sample rates:

```python  theme={null}
t.add_computed_column(
    audio_file=encode_audio(
        t.audio_data, input_sample_rate=t.sample_rate, format='flac'
    )
)
```

## <span style={{ 'color': 'gray' }}>udf</span>  get\_metadata()

```python Signature theme={null}
@pxt.udf
get_metadata(audio: pxt.Audio) -> pxt.Json
```

Gets various metadata associated with an audio file and returns it as a dictionary.

**Parameters:**

* **`audio`** (`pxt.Audio`): The audio to get metadata for.

**Returns:**

* `pxt.Json`: A `dict` such as the following:
  ```json  theme={null}
  {
      'size': 2568827,
      'streams': [
          {
              'type': 'audio',
              'frames': 0,
              'duration': 2646000,
              'metadata': {},
              'time_base': 2.2675736961451248e-05,
              'codec_context': {
                  'name': 'flac',
                  'profile': None,
                  'channels': 1,
                  'codec_tag': '\x00\x00\x00\x00',
              },
              'duration_seconds': 60.0,
          }
      ],
      'bit_rate': 342510,
      'metadata': {'encoder': 'Lavf61.1.100'},
      'bit_exact': False,
  }
  ```

**Examples:**

Extract metadata for files in the `audio_col` column of the table `tbl`:

```python  theme={null}
tbl.select(tbl.audio_col.get_metadata()).collect()
```


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