Raspberry pi voice recognition python. May 31, 2022 路 Today, we will design a Speech Recognition System using Raspberry pi 4, where we will create python code to compare voices and recognize. Equipped with high-precision servo motors and aluminum alloy body. Offline Hindi Voice Assistant built in Python using Vosk for speech recognition and pyttsx3/eSpeak for offline text-to-speech. Now you can turn your Raspberry PI into Speech to Text and Text to Speech machine without Internet! I always love machines! Especially capable of simulating human features, like talk … Add your Wake Phrase to an Android app 39 React Native Speech Recognition Tutorial 40 "Pico Chess, start a new game": . but it works fine on my local system. LeBlanc-Williams published June 09, 2021, last edited February 14, 2025 posted in Raspberry Pi CircuitPython Programming / Python Whisper is a powerful speech-to-text tool that can transcribe spoken language into written text with high accuracy. Pi is not just another TTS and speech recognition system slapped onto chatgpt, inflection has hit the trifecta with a fantastic language model combined with industry leading TTS and speech recognition. First, we will install the necessary packages to work with audio data on Raspberry Pi. Runs on Windows and Raspberry Pi without internet. An in-depth tutorial on speech recognition with Python. tflite model), benchmark performance against platforms like NVIDIA Jetson Nano, and implement audio transcription May 26, 2024 路 Then I wanted to make scripts to do real-time speech-to-text for conversation between me and Raspberry Pi. NET Speech Recognition Tutorial 41 Podcast Transcription Software with Express. Speech recognition bindings implemented for various programming languages like Python, Java, Node. 2 27/o - Finance Adeept PiCar-Pro Copatible with Raspberry Pi Robot python pyaudio time datetime pygame speech-recognition flac speech-to-text raspberry-pi-3 gpiozero gtts-library Readme Activity 3 stars In this guide, we will see how speech recognition can be done using Python, Google's Speech API, and ReSpeaker USB Mic. Learn how to build a speech recognition system on a Raspberry Pi with this step-by-step tutorial. I've create a general idea of my Kivy layout/functionality (just a couple of things to iron out), and I've found a speech library that I have gotten to work independently, but I'm having problems integrating the two into a single python file. - sachaabot Accurate speech recognition for Android, iOS, Raspberry Pi and servers with Python, Java, C#, Swift and Node. Unlock the power of Raspberry Pi speech recognition in 2025. Scope and goals: Real time audio processing Must run on small credit card sized, ARM powered computers like Raspberry Pi, Banana Pi and alike Pattern/voice recognition for only a few words Must work offline without immanent dependencies to cloud APIs Examples of use: (Smart) home control Voice controlled stuff like robots, smart mirrors and alike Here’s what we’ll cover: Getting your Raspberry Pi ready for AI projects Setting up a Python virtual environment Installing and tweaking the OpenAI Whisper API Capturing your voice in real USB Microphone (or a Pi-compatible microphone such as the ReSpeaker) Python installed on your Raspberry Pi (usually pre-installed) This setup will allow you to create a versatile voice-controlled platform ready for home automation, robot control, or other creative IoT applications. Vosk works on Raspberry Pi3 and Pi4 but it also scales from mobile phones to big callcenter cluster. What I did Firstly, I set up my microphone on Raspberry Pi. However, with Voice2JSON, you can have your speech recognition data processed right on your Raspberry Pi This is called edge detection. Vosk can also create subtitles for movies, transcription for lectures and interviews. js 42 End-to-End Speech Recognition with Python 43 No Alexa, No Google: Custom Hotword Detection Arduino 44 Voice AI with Raspberry Pi - ReSpeaker . Supports AI Vision, Voice Recognition, and Radar. A fast, local neural text to speech system. It supports several popular speech recognition engines, including Google Speech Recognition, Microsoft Bing Voice Recognition, and CMU Sphinx. 馃搶 Overview This project presents a fully offline Hindi Voice Assistant designed to run entirely on a Raspberry Pi without any cloud dependency. It performs speech recognition and text-to-speech without internet connectivity, ensuring complete privacy. Discover top Python libraries for speech recognition and text-to-speech, including features for Alexa, automation, and NLP. Hiwonder provides robots for STEM education, such as open source robots, micro:bit, Arduino, Raspberry Pi and Jetson kits, as well as robot DIY modules and sensors for expansion. In this project, we are going to build a Raspberry-Pi based Voice Controlled Home Automation System that can listen, respond, and control AC loads as per our voice commands. Buy HIWONDER Humanoid Robot with ChatGPT Multimodal AI Models AI Embodied Intelligent Vision Scene Voice Understanding 20DOF Educational Robot Kit Python Programming, TonyPi Advanced & RaspberryPi 5 4GB online in Kenya and get this delivered to your address anywhere in the Kenya. Learn about hardware setup, Python code, best engines, and real-world voice command projects. End-to-End Voice Recognition with Python There are several approaches for adding speech recognition capabilities to a Python application. In this video, we'll explore offline speech-to-text (STT) recognition using a Raspberry Pi 5 running Raspberry Pi OS and Python3. Transform your Raspberry Pi into an offline TTS system with simple, ready-to-use code. So enjoy!You will need:Raspberry Pi 3 B+ or betterUSB sound cardSD card with N Learn how to easily install voice recognition software on your Raspberry Pi and unleash the power of hands-free control, making your projects even more convenient and interactive. ShrutiAI is an offline Hindi voice assistant designed for edge devices like Raspberry Pi. After hooking up a Raspberry Pi with a Logitech 4000 webcam (for its microphone) and configuring with AlsaMixer, everything worked pretty much as expected with Python 3. Learn about the Speech Recognition tools for Raspberry Pi: Wake Word Detection, Voice Commands, Speech-to-Text, and Voice Activity Detection. Keywords: ANAVI Dev Mic, Open AI Whisper, Python, Raspberry Pi, speech, speech-to-text Offline Speech-to-Text on Raspberry Pi 5 with ANAVI Dev Mic and Python In the world of speech recognition, online services like Google Speech-to-Text or Amazon Transcribe are popular choices, but what if you need offline functionality? Speech Recognition with SaraKIT SaraKIT is equipped with three microphones and a specialized audio processor that clarifies the voice and supports speech recognition on Raspberry Pi, offering a significant leap in enabling offline, cloud-independent voice command functionalities. CMUSphinx Kaldi Jasper Links: Python 3 Artificial Intelligence: Offline STT and TTS The Best Voice Recognition Software for Raspberry Pi And a couple of other ones. Raspberry Pi controller enables advanced programming options. Jan 7, 2022 路 Learn how to turn audio into text with the free, open-source spchcat tool on a Raspberry Pi. Buy HIWONDER Humanoid Robot with ChatGPT Multimodal AI Models AI Embodied Intelligent Vision Scene Voice Understanding 18DOF Educational Robot Kit Python Programming, TonyPi Advanced & RaspberryPi 5 8GB online in Kenya and get this delivered to your address anywhere in the Kenya. After completing this guide, you will be able to leverage Whisper's capabilities to convert speech into text on your Raspberry Pi. It says recognizers don't have attribute recognize Google. It… Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node - alphacep/vosk-api Buy HIWONDER Humanoid Robot with ChatGPT Multimodal AI Models AI Embodied Intelligent Vision Scene Voice Understanding 18DOF Educational Robot Kit Python Programming, TonyPi Advanced & RaspberryPi 5 8GB online in Saudi Arabia and get this delivered to your address anywhere in the Saudi Arabia. JS, C#, C++ and others. Here is what I have up and running on my pi, it uses python speech recognition, pyaudio and pythons espeak for voice response (if you want that, if not just take it out) this will listen for voice input, print it to text and speak it back to you. It demonstrates how to install DeepSpeech (which runs faster than real-time via its . By Artur Majtczak and Maciek Matuszewski. Dec 31, 2025 路 Library for performing speech recognition, with support for several engines and APIs, online and offline. I've seen a couple of libraries, for python, that can do this but most of the ones that I have seen are windows o 12 degrees of freedom for realistic movement. Piper TTS is a specialized local neural text-to-speech system, optimized for the Raspberry Pi 4 and adaptable to the Raspberry Pi 5. Buy HIWONDER Humanoid Robot with ChatGPT Multimodal AI Models AI Embodied Intelligent Vision Scene Voice Understanding 18DOF Educational Robot Kit Python Programming, TonyPi Advanced & RaspberryPi 5 8GB online in Oman and get this delivered to your address anywhere in the Oman. This system listens to Hindi speech, processes it using a locally running AI model, and responds back in natural Hindi voice — completely offline after the initial setup. Introduction The AIY Voice Kit from Google lets you build your own natural language processor and connect it to the Google Assistant or Cloud Speech-to-Text service, allowing you to ask questions and issue voice commands to your programs. Learn which speech recognition library gives the best results and build a full-featured "Guess The Word" game with it. Plug your USB microphone into the Raspberry Pi’s USB port. Python Edge Speech Recognition with Voice2JSON Making your own Voice Assistant that runs right on the Raspberry Pi by M. Available in both Standard and Pro versions with advanced features, modern UI, and comprehensive AI integration supporting Local AI, Claude API, and OpenAI API. An open-source voice agent built on the PamirAI Distiller device, combining speech recognition, and text-to-speech to create a conversational AI assistant with OpenClaw you can talk to. Adeept PiCar-Pro v2: The Ultimate Raspberry Pi Robotics Platform. This is a tutorial on how to make Your own speech recognition on raspberry pi. The system uses a microphone to capture the user's voice input, converts the speech into text using the Vosk speech recognition model, processes the text to understand the user’s intent, and then performs the required action such as telling the time, date, IP address, temperature, playing music, controlling volume, or shutting down the system. io. . None of them were easy to set up and not particularly suitable for running in resource constrained environment. All of this fits in a handy little cardboard cube, powered by a Raspberry Pi. Obstacle and visual tracking capabilities enhance interaction. Code your future-grab this PiCar Pro before the next build wave! Pi 5 Power Unleashed: Optimized for Raspberry Pi 5's performance, with full Pi 4/3 compatibility via Robot HAT V3. In this article, I’d like to introduce a new paradigm I installed the SpeechRecognition as instructed at https://github. Learn how to build a speech recognition system on a Raspberry Pi using Python and the AssemblyAI API. Find this and other hardware projects on Hackster. What is SpeechRecognition SpeechRecognition is an open-source Python library that allows you to easily transcribe spoken words from audio files or microphone input into text. Fast and accurate automatic speech recognition (ASR) for edge devices - moonshine-ai/moonshine Therefore, based on the Raspberry Pi 4B, we combine local speech recognition with cloud based interaction to create a low-cost and highly flexible intelligent speech interaction system. Sep 2, 2025 路 This project enables offline speech recognition on a Raspberry Pi 4 using a ReSpeaker microphone array, powered by Mozilla’s DeepSpeech engine. com/Uberi/speech_recognition pip install SpeechRecognition Currently I use python 3. Turn your setup into a functional voice assistant with basic hardware requirements. The system performs on-device speech recognition, intent processing, and text-to-speech synthesis, ensuring user privacy, low latency, and edge-AI compatibility. I used the speaker Aug 14, 2025 路 A professional speech-to-text application for Raspberry Pi using OpenAI's Whisper model. Contribute to rhasspy/piper development by creating an account on GitHub. An intelligent offline Hindi Voice Assistant built using open-source speech recognition, a local Large Language Model (LLM), and neural text-to-speech synthesis. Learn real-time speech recognition on Raspberry Pi using Python. In this video, we will learn how to use the Python speech recognition package on Raspberry Pi. This guide provides detailed instructions on how to install and set up Whisper on a Raspberry Pi 5. Real-time feedback for posture and joint angles. Of course, Christmas and come and gone; perhaps I will finish this project for Christmas 2020! The original project was to make some voice activated Christmas tree lights. I'm making a project that requires the user to control the computer through speech. 5 on my Raspberry Pi 3. Raspberry Pi speech recognition Posted on 8th January 2020 This is a follow-on post about speech recognition on a Raspberry Pi. Overview Many of the reliable speech recognition systems today such as Amazon Alexa or Google assistant connect to the internet and remote servers to process the speech data. I am doing speech recognition on Raspberry Pi, but the function recognize_google does not work on Raspberry Pi. Mon Oct 12, 2015 8:05 pm Hi all, As part of my project I want to introduce some speech recognition. m4iz, y98gs, arob, kz76yj, cwmcv, xbeq, xdr7, e5z4p, ggdw, d1n3,