Segmentation

Detect and isolate speech and other sounds

Detect speech and other sounds and locate their start and end times. For streaming applications, use a voice activity detector (VAD) to output the probability that speech is present in a given frame. You can also use speech2text to create time-aligned word labels for speech signals.

Apps

Signal Labeler

Label signal attributes, regions, and points of interest, and extract features

Objects

voiceActivityDetector Detect presence of speech in audio signal

Functions

`enhanceSpeech`	Enhance speech signal (Since R2024a)
`separateSpeakers`	Separate signal by speakers (Since R2023b)
`detectspeechnn`	Detect boundaries of speech in audio signal using AI (Since R2023a)
`detectSpeech`	Detect boundaries of speech in audio signal (Since R2020a)
`classifySound`	Classify sounds in audio signal (Since R2020b)
`identifyLanguage`	Identify languages in speech signals (Since R2024b)

Blocks

Voice Activity Detector

Detect presence of speech in audio signal

Topics

Speaker Diarization Using Pretrained AI Models
Use the speakerEmbeddings function to extract compact speaker representations and perform speaker diarization. (Since R2024b)

Featured Examples

Voice Activity Detection in Noise Using Deep Learning

Perform batch and streaming voice activity detection (VAD) in a low SNR environment using a pretrained deep learning model.

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Train Voice Activity Detection in Noise Model Using Deep Learning

Train a BiLSTM network to perform voice activity detection (VAD) in a low SNR environment.

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