Skip to main content

Leopard speech-to-text engine demos

Project description

Leopard Speech-to-Text Demos

Made in Vancouver, Canada by Picovoice

Leopard

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

  • Private; All voice processing runs locally.
  • Accurate
  • Compact and Computationally-Efficient
  • Cross-Platform:
    • Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64)
    • Android and iOS
    • Chrome, Safari, Firefox, and Edge
    • Raspberry Pi (4, 3) and NVIDIA Jetson Nano

Compatibility

  • Python 3.5+
  • Runs on Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64), Raspberry Pi (4, 3), and NVIDIA Jetson Nano.

Installation

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 to get your AccessKey.

Usage

File Demo

Run the following in the terminal:

leopard_demo_file --access_key ${ACCESS_KEY} --audio_paths ${AUDIO_PATH}

Replace ${ACCESS_KEY} with yours obtained from Picovoice Console and ${AUDIO_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:

leopard_demo_mic --access_key ${ACCESS_KEY}

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

>>> Press `ENTER` to start: 

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

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

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pvleoparddemo-1.2.4.tar.gz (8.4 kB view details)

Uploaded Source

Built Distribution

pvleoparddemo-1.2.4-py3-none-any.whl (9.4 kB view details)

Uploaded Python 3

File details

Details for the file pvleoparddemo-1.2.4.tar.gz.

File metadata

  • Download URL: pvleoparddemo-1.2.4.tar.gz
  • Upload date:
  • Size: 8.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.12

File hashes

Hashes for pvleoparddemo-1.2.4.tar.gz
Algorithm Hash digest
SHA256 994a4a51ca5d72accf5aa30a44c381f7190ecfbdaa7b05e7f026fd5d7d6fbe81
MD5 6bd01ca50e2c1117dad3aca30e739bd8
BLAKE2b-256 c9684b74d61fb383f50fd3c31f65016e800b238088d23694f3c453b77fcc080e

See more details on using hashes here.

File details

Details for the file pvleoparddemo-1.2.4-py3-none-any.whl.

File metadata

File hashes

Hashes for pvleoparddemo-1.2.4-py3-none-any.whl
Algorithm Hash digest
SHA256 8b9793b87832f4c583d5682548bb8e928b91fb9ca285bd1d86e05210d8bb5adb
MD5 efe4dbc39a7ccf78a07be9ef562585d3
BLAKE2b-256 b9f1a6c7b496f6283562373bd4a94020577e4768cbde8d38df3aa5839f6f4140

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page