rustPicovoice 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

  1. Login or signup for a free account on the Picovoice Console.
  2. Go to the AccessKey tab to create one or use an existing AccessKey. Be 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

Packages

API

GitHub

Benchmarks


Issue with this doc? Please let us know.