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-2.0.1.tar.gz (8.9 kB view details)

Uploaded Source

Built Distribution

pvleoparddemo-2.0.1-py3-none-any.whl (9.5 kB view details)

Uploaded Python 3

File details

Details for the file pvleoparddemo-2.0.1.tar.gz.

File metadata

  • Download URL: pvleoparddemo-2.0.1.tar.gz
  • Upload date:
  • Size: 8.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for pvleoparddemo-2.0.1.tar.gz
Algorithm Hash digest
SHA256 e54a98c9e44a3101a8953ff8805ed2a5ccd036f14d7304d623f5f93a5e9a894d
MD5 7408b948acfc60d330f3f618ded9dfbe
BLAKE2b-256 b9cdc04cce5c2184dd9c35d08da1dcdab3fb442684ac7dc43d189a46f68aa4d8

See more details on using hashes here.

File details

Details for the file pvleoparddemo-2.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for pvleoparddemo-2.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d59ce82acd3b32b2b7f6a26a55831787f99748bb4c0e6a4aec9de1b6d37ba4c3
MD5 5d5a37dec9e396e666a9fd068c4cffff
BLAKE2b-256 804f546ded9647db6a6c6e13bf35b4e49da3fa21a7b4b6d7e86154c30f68b12f

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