Picovoice Platform
Rust Quick Start

Platforms

• Linux (x86_64)
• macOS (x86_64, arm64)
• Windows (x86_64)
• BeagleBone
• NVIDIA Jetson Nano
• Raspberry Pi (Zero, 2, 3, 4)

Requirements

• Picovoice Account & AccessKey
• Rust 1.54+
• Cargo

Picovoice Account & AccessKey

Signup or Login to Picovoice Console to get your AccessKey. Make sure to keep your AccessKey secret.

Quick Start

Setup

1. Download and install Rust .

2. Add picovoice to the Cargo.toml manifest:

[dependencies]
picovoice = "*"

Usage

Create an instance of Picovoice using a Porcupine keyword file (.ppn), and a Rhino context file (.rhn):

use picovoice::{rhino::RhinoInference, PicovoiceBuilder};

let wake_word_callback = || {
    // wake word detected
};

let inference_callback = |inference: RhinoInference| {
    if inference.is_understood {
        let intent = inference.intent.unwrap();
        let slots = inference.slots;
        // take action based on inferred intent and slot values
    } else {
        // handle unsupported commands
    }
};

let mut picovoice = PicovoiceBuilder::new(
    "${ACCESS_KEY}",
    "${KEYWORD_FILE_PATH}",
    wake_word_callback,
    "${CONTEXT_FILE_PATH}",
    inference_callback,
)
.init()
.expect("Failed to create picovoice");

Pass in frames of audio to the .process function:

fn next_audio_frame() -> Vec<i16> {
    // ..
}

loop {
    let audio_frame: Vec<i16> = next_audio_frame();
    picovoice.process(&audio_frame).expect("Picovoice failed to process audio");
}

Custom Wake Words & Contexts

Create custom wake word and context files using the Picovoice Console . Download the custom models (.ppn and .rhn) and pass them into the PicovoiceBuilder constructor.

Non-English Languages

Use the corresponding model file (.pv) to process non-English wake words and contexts. The model files for all supported languages are available on the Porcupine GitHub repository and the Rhino GitHub repository .

Pass in model files using the porcupine_model_path and the rhino_model_path builder methods to change the language:

let mut picovoice = PicovoiceBuilder::new(
    "${ACCESS_KEY}",
    "${KEYWORD_FILE_PATH}",
    wake_word_callback,
    "${CONTEXT_FILE_PATH}",
    inference_callback,
)
.porcupine_model_path("${PORCUPINE_MODEL_FILE_PATH}")
.rhino_model_path("${RHINO_MODEL_FILE_PATH}")
.init()
.expect("Failed to create picovoice");

Demo

For the Picovoice Rust SDK, we offer demo applications that demonstrate how to use the Picovoice Platform on real-time audio streams (i.e. microphone input) and audio files.

Setup

Clone the Picovoice GitHub Repository :

git clone --recurse-submodules https://github.com/Picovoice/picovoice.git

Usage

Use the --help flag to see the usage options for the demo:

cd picovoice/demo/rust/micdemo
cargo run --release -- --help

Ensure you have a working microphone connected to your system and run the following command to make inferences based on the given keyword and context files:

cargo run --release -- \
--access_key "${ACCESS_KEY}" \
--keyword_path "${KEYWORD_FILE_PATH}" \
--context_path "${CONTEXT_FILE_PATH}"

For more information on our Picovoice demos for Rust, head over to our GitHub repository .

Resources