diart.blocks.vad#

Module Contents#

Classes#

VoiceActivityDetectionConfig

Configuration containing the required

VoiceActivityDetection

Represents a streaming audio pipeline
class diart.blocks.vad.VoiceActivityDetectionConfig(segmentation=None, duration=5, step=0.5, latency=None, tau_active=0.6, device=None, sample_rate=16000, **kwargs)#

Bases: diart.blocks.base.PipelineConfig

Configuration containing the required parameters to build and run a pipeline

Parameters:

  • segmentation (diart.models.SegmentationModel | None) –

  • duration (float) –

  • step (float) –

  • latency (float | typing_extensions.Literal[max, min] | None) –

  • tau_active (float) –

  • device (torch.device | None) –

  • sample_rate (int) –

property duration: float#

The duration of an input audio chunk (in seconds)

Return type:

float

property step: float#

The step between two consecutive input audio chunks (in seconds)

Return type:

float

property latency: float#

The algorithmic latency of the pipeline (in seconds). At time t of the audio stream, the pipeline will output predictions for time t - latency.

Return type:

float

property sample_rate: int#

The sample rate of the input audio stream

Return type:

int

class diart.blocks.vad.VoiceActivityDetection(config=None)#

Bases: diart.blocks.base.Pipeline

Represents a streaming audio pipeline

Parameters:

config (VoiceActivityDetectionConfig | None) –

property config: diart.blocks.base.PipelineConfig#
Return type:

diart.blocks.base.PipelineConfig

static get_config_class()#
Return type:

type

static suggest_metric()#
Return type:

pyannote.metrics.base.BaseMetric

static hyper_parameters()#
Return type:

Sequence[diart.blocks.base.HyperParameter]

reset()#
set_timestamp_shift(shift)#
Parameters:

shift (float) –

__call__(waveforms)#

Runs the next steps of the pipeline given a list of consecutive audio chunks.

Parameters:

waveforms (Sequence[SlidingWindowFeature]) – Consecutive chunk waveforms for the pipeline to ingest

Returns:

For each input waveform, a tuple containing the pipeline output and its respective audio

Return type:

Sequence[Tuple[Any, SlidingWindowFeature]]