Speech-Recognition
Porcupine
Speech-Recognition | Porcupine | |
---|---|---|
3 | 31 | |
1 | 3,470 | |
- | 2.5% | |
5.8 | 9.0 | |
almost 3 years ago | 13 days ago | |
JavaScript | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Speech-Recognition
-
Customizable Appointment Scheduling Software is Business Critical
A platform that allows for customization provides the option to build on or extend existing features, allowing you to create a more functional product and a more pleasant experience for your clients or patients. Spurwing is a leading provider of Time Management Solutions thanks to our Appointment Scheduling API and rockstar support team.
-
Save Time And Money with Appointment Scheduling Tools
For example, an appointment scheduling service like Spurwing uses two-way syncing with external calendars. Two-way syncing ensures that no matter what calendar a provider uses, they see an up-to-date schedule of appointments.
-
Speech Recognition and Voice Activity Detection for your Apps
GitHub: https://github.com/Spurwing/Speech-Recognition This is our simple yet powerful server-client implementation with Speech Recognition in the browser. It works on any device that uses a modern up-to-date web browser (FireFox or Chrome recommended).
Porcupine
-
I made a ChatGPT virtual assistant that you can talk to
I call it DaVinci. DaVinci uses Picovoice (https://picovoice.ai/) solutions for wake word and voice activity detection and for converting speech to text, Amazon Polly to convert its responses into a natural sounding voice, and OpenAI’s GPT 3.5 to do the heavy lifting. It’s all contained in about 300 lines of Python code.
-
Speech Recognition in Unity: Adding Voice Input
Download pre-trained models: "Porcupine" from Porcupine Wake Word and Video Player Context from Rhino Speech-to-Intent repositories - You can also train a custom models on Picovoice Console.
-
Speech Recognition with SwiftUI
Below are some useful resources: Open-source code Picovoice Platform SDK Picovoice website
-
Speech Recognition with Angular
Download the Porcupine model and turn the binary model into a base64 string.
-
OK Google, Add Hotword Detection to Chrome
Download Porcupine (i.e. Deep Neural Network). Run the following to turn the binary model into a base64 string, from the project folder.
-
Hotword Detection for MCUs
Porcupine SDK Porcupine SDK is on GitHub. Find libraries for supported MCUs on the Porcupine GitHub repository. Arduino libraries are available via a specialized package manager offered by Arduino.
-
Day 12: Always Listening Voice Commands with React.js
Looking for more? Explore other languages on the Picovoice Console and check out for fully-working demos with Porcupine on GitHub.
-
Day 6: Making Cool Raspberry Pi Projects even Cooler with Voice AI (1/4)
Don't forget to visit Porcupine's Wake Word's Github repository to see Python demos. If you want to do something similar to the video above, find the open-source codes here
- Voice Assistant app in Haskell
-
What does "end-to-end" mean?
I sometimes see the term "end-to-end", and it always passes right by my ears as marketing jargon. For example, there was a recent post today that linked to this page: https://picovoice.ai/, and you'll find the statement "... end-to-end platform for adding voice to anything on your terms". I did a quick Google search and it seems like the term is used in many different contexts (e.g., encryption, enterprise software for product development, etc.), but to be honest, I'm just not getting it. Maybe someone can explain here within the realm of embedded software? Could you provide some examples as well?
What are some alternatives?
Leon - 🧠 Leon is your open-source personal assistant.
snowboy - Future versions with model training module will be maintained through a forked version here: https://github.com/seasalt-ai/snowboy
react-native-spokestack - Spokestack: give your React Native app a voice interface!
mycroft-precise - A lightweight, simple-to-use, RNN wake word listener
rhino - On-device Speech-to-Intent engine powered by deep learning
Caffe - Caffe: a fast open framework for deep learning.
picovoice - On-device voice assistant platform powered by deep learning
DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
porcupine-web-vaadin-demo - Example of using Picovoice Porcupine wake word detection in Vaadin 24
mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
voice_datasets - 🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).
Caffe2