pvleoparddemo


Namepvleoparddemo JSON
Version 2.0.2 PyPI version JSON
download
home_pagehttps://github.com/Picovoice/leopard
SummaryLeopard speech-to-text engine demos
upload_time2024-02-06 01:32:20
maintainer
docs_urlNone
authorPicovoice
requires_python>=3.7
license
keywords speech-to-text asr speech recognition voice recognition automatic speech recognition
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Leopard Speech-to-Text Demos

Made in Vancouver, Canada by [Picovoice](https://picovoice.ai)

## Leopard

Leopard is an on-device speech-to-text engine. Leopard is:

- Private; All voice processing runs locally.
- [Accurate](https://picovoice.ai/docs/benchmark/stt/)
- [Compact and Computationally-Efficient](https://github.com/Picovoice/speech-to-text-benchmark#rtf)
- Cross-Platform:
  - Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64)
  - Android and iOS
  - Chrome, Safari, Firefox, and Edge
  - Raspberry Pi (5, 4, 3) and NVIDIA Jetson Nano

## Compatibility

- Python 3.7+
- Runs on Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64), Raspberry Pi (4, 3), and NVIDIA Jetson Nano.

## Installation

```console
pip3 install pvleoparddemo
```

## AccessKey

Leopard requires a valid Picovoice `AccessKey` at initialization. `AccessKey` acts as your credentials when using Leopard SDKs.
You can get your `AccessKey` for free. Make sure to keep your `AccessKey` secret.
Signup or Login to [Picovoice Console](https://console.picovoice.ai/) to get your `AccessKey`.

## Usage

### File Demo

Run the following in the terminal:

```console
leopard_demo_file --access_key ${ACCESS_KEY} --audio_paths ${AUDIO_FILE_PATH}
```

Replace `${ACCESS_KEY}` with yours obtained from Picovoice Console and `${AUDIO_FILE_PATH}` with a path to an audio file you
wish to transcribe.

### Microphone Demo

You need a working microphone connected to your machine for this demo. Run the following in the terminal:

```console
leopard_demo_mic --access_key ${ACCESS_KEY}
```

Replace `${ACCESS_KEY}` with yours obtained from Picovoice Console. Once running, the demo prints:

```console
>>> Press `ENTER` to start:
```

Press `ENTER` key and wait for the following message in the terminal:

```console
>>> Recording ... Press `ENTER` to stop:
```

Now start recording and when done press `ENTER` key to get the transcription.

            

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