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Rhino Speech-to-Intent
C Quick Start


Platforms

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

Requirements

  • C99-compatible compiler
  • CMake (3.4+)
  • For Windows Only: MinGW is required to build the demo

Picovoice Account & AccessKey

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

Setup

  1. Clone the repository:
git clone --recurse-submodules https://github.com/Picovoice/rhino.git

Usage

  1. Include the public header files (picovoice.h and pv_rhino.h) .
  2. Link the project to an appropriate precompiled library for the target platform and load it.
  3. Download a language model .
  4. Download a context file based on the desired language and the target platform.
  5. Construct the Rhino object:
static const char* ACCESS_KEY = "${ACCESS_KEY}";
const char *model_file_path = "${MODEL_FILE_PATH}";
const char *context_file_path = "${CONTEXT_FILE_PATH}";
const float sensitivity = 0.5f;
pv_rhino_t *rhino;
const pv_status_t status = pv_rhino_init(
model_file_path,
context_file_path,
&sensitivity,
true,
&rhino);
if (status != PV_STATUS_SUCCESS) {
// add error handling code
}
  1. Pass in frames of audio to the pv_rhino_process function:
extern const int16_t *get_next_audio_frame(void);
while (true) {
const int16_t *pcm = get_next_audio_frame();
bool is_finalized;
pv_status_t status = pv_rhino_process(rhino, pcm, &is_finalized);
if (status != PV_STATUS_SUCCESS) {
// add error handling code
}
if (is_finalized) {
bool is_understood;
status = pv_rhino_is_understood(rhino, &is_understood);
if (status != PV_STATUS_SUCCESS) {
// add error handling code
}
if (is_understood) {
const char *intent;
int num_slots;
const char **slots;
const char **values;
status = pv_rhino_get_intent(
rhino,
&intent,
&num_slots,
&slots,
&values);
if (status != PV_STATUS_SUCCESS) {
// add error handling code
}
// add code to take action based on inferred intent and slot values
pv_rhino_free_slots_and_values(rhino, slots, values);
} else {
// add code to handle unsupported commands
}
pv_rhino_reset(rhino);
}
}
  1. Release resources explicitly when done with Rhino:
pv_rhino_delete(rhino);

Custom Contexts

Create custom context using the Picovoice Console . Download the custom context file (.rhn) and create an instance of Rhino using the custom context model.

Non-English Languages

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

Demo

For the Rhino C SDK, we offer demo applications that demonstrate how to use the Speech-to-Intent engine on real-time audio streams (i.e. microphone input) and audio files.

Setup

  1. Clone the repository:
git clone --recurse-submodules https://github.com/Picovoice/rhino.git
  1. Build the microphone demo:
cd rhino
cmake -S demo/c/. -B demo/c/build && cmake --build demo/c/build --target rhino_demo_mic

Usage

To see the usage options for the demo:

./demo/c/build/rhino_demo_mic

Ensure you have a working microphone connected to your system and run the following command to infer intent from spoken commands:

./demo/c/build/rhino_demo_mic \
-l lib/${PLATFORM}/${ARCH}/libpv_rhino.so \
-m lib/common/rhino_params.pv \
-c resources/contexts/${PLATFORM}/smart_lighting_${PLATFORM}.rhn \
-d ${AUDIO_DEVICE_INDEX} \
-a ${ACCESS_KEY}

For more information on our Rhino demos for C, head over to our GitHub repository .

Resources

API

  • C API Docs

GitHub

  • Rhino C Demos on GitHub

Benchmark

  • Speech-to-Intent Benchmark

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Rhino Speech-to-Intent C Quick Start
  • Platforms
  • Requirements
  • Picovoice Account & AccessKey
  • Setup
  • Usage
  • Custom Contexts
  • Non-English Languages
  • Demo
  • Setup
  • Usage
  • Resources
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