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
Download and install Rust .
Add
picovoice
to theCargo.toml
manifest:
Usage
Create an instance of Picovoice using a
Porcupine keyword file (.ppn
),
and a Rhino context file (.rhn
):
Pass in frames of audio to the .process
function:
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:
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 :
Usage
Use the --help
flag to see the usage options for the demo:
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:
For more information on our Picovoice demos for Rust, head over to our GitHub repository .
Resources
Package
API
GitHub
Benchmarks