{"product_id":"plokstes-rinkinys-sarakit-raspberry-pi-cm4","title":"Plokštės rinkinys SaraKIT Raspberry Pi CM4","description":"\u003ch2\u003eTrumpai apie prekę\u003c\/h2\u003e\u003cp\u003ePrekė: Plokštės rinkinys SaraKIT Raspberry Pi CM4. Kategorija: Priedai.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGamintojas:\u003c\/strong\u003e no brand\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModelis:\u003c\/strong\u003e SARAKIT-V-01 without accesories\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eSaraKIT\u003c\/b\u003e is an expansion board for the Raspberry Pi CM4. It is equipped with 3 microphones with sound location function and stereo output for artificial intelligence and voice projects. Two independent BLDC controllers allow for quiet and precise motor control in device designs. It is equipped with a CSI interface with two cameras and two accelerometers, a gyroscope and a temperature sensor.\u003c\/p\u003e\u003cp\u003eCreate modern, powerful, and flexible voice products with the Raspberry Pi, integrated with Amazon Alexa, Google Assistant, ChatGPT, etc.\u003c\/p\u003e\u003cp\u003eCreate voice-controlled robots. Communicate with home, office, or other devices in everyday life, all with your voice.\u003c\/p\u003e\u003ch2\u003eApplication\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eSmart Speaker\u003c\/li\u003e\n\u003cli\u003eIntelligent voice assistant systems\u003c\/li\u003e\n\u003cli\u003eVoice Recorders\u003c\/li\u003e\n\u003cli\u003eVoice conferencing system\u003c\/li\u003e\n\u003cli\u003eMeeting with communication equipment\u003c\/li\u003e\n\u003cli\u003eVoice Interactive Robot\u003c\/li\u003e\n\u003cli\u003eCar Voice Assistant\u003c\/li\u003e\n\u003cli\u003eOther scenarios require voice commands\u003c\/li\u003e\n\u003cli\u003eOther scenarios requiring quiet and precise motors\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpeech recognition with SaraKIT\u003c\/h2\u003e\u003cp\u003eSaraKIT is equipped with three microphones and a specialized sound processor that clears voice and supports speech recognition on the Raspberry Pi, offering a significant step in sharing offline voice command functionality, independent of the cloud. While many speech recognition tools are available online, and cloud-based data analytics tools like Google Speech to Text are among the best and most efficient, as discussed in my other guide, this article focuses on offline speech recognition — without the need for an internet connection.\u003c\/p\u003e\u003cp\u003eIn search of the best and easiest tool to configure, I came across a noteworthy solution, currently recommended for offline speech recognition - Vosk API:\u003c\/p\u003e\u003cp\u003e\u003cb\u003eVosk\u003c\/b\u003e speech recognition toolkit\u003c\/p\u003e\u003cp\u003eVosk is an offline open source speech recognition toolkit that makes it easy to recognize speech in more than 20 languages and dialects, including English, German, French, Spanish, and more. Its models are compact (about 50 Mb), but support continuous transcription of large vocabulary, offer lag-free response through the streaming API, offer reconfigurable vocabulary, and identify speakers. Vosk supports a range of applications, from chatbots and smart home devices to virtual assistants and subtitle creation, scaling from small devices like Raspberry Pi or Android smartphones to large clusters.\u003c\/p\u003e\u003cp\u003eVosk homepage: https:\/\/alphacephei.com\/vosk\/\u003c\/p\u003e\u003cp\u003eGitHub Vosk: https:\/\/github.com\/alphacep\/vosk-api\u003c\/p\u003e\u003cp\u003e\u003cb\u003eInstallation on SaraKIT:\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eAssuming that the basic SaraKIT drivers are already installed https:\/\/sarakit.saraai.com\/getting-started\/software , follow these steps to install:\u003c\/p\u003e\u003cp\u003esudo apt-get install pip sudo apt-get install -y python3-pyaudio sudo pip3 install vosk git clone https:\/\/github.com\/SaraEye\/SaraKIT-Speech-Recognition-Vosk-Raspberry-Pi SpeechRecognition cd SpeechRecognition\u003c\/p\u003e\u003cp\u003eTo use a language other than English, download the required language model from https:\/\/alphacephei.com\/vosk\/models and place it in the “models” directory.\u003c\/p\u003e\u003cp\u003eStart speech recognition by running:\u003c\/p\u003e\u003cp\u003epython SpeechRecognition.py\u003c\/p\u003e\u003cp\u003eBelow is a script for speech recognition in the language of your choice, available at\u003c\/p\u003e\u003cp\u003ehttps:\/\/github.com\/SaraEye\/SaraKIT-Speech-Recognition-Vosk-Raspberry-Pi :\u003c\/p\u003e\u003cp\u003eIt may happen that you use all the power of the Raspberry Pi, for example, to analyze the image, and then you may find that you lack the computing power to recognize speech. In such cases, you will need to use cloud analytics on a more powerful computer. You can set up your own server and still use Vosk, or you can opt for other tools like Google Speech to Text.\u003c\/p\u003e\u003ch2\u003eText to Speech with SaraKIT\u003c\/h2\u003e\u003cp\u003eSaraKIT is equipped with three microphones and a specialized sound processor that clears the sound of voice and supports speech recognition on the Raspberry Pi from a distance of up to 5 meters, as described in our “Speech Recognition” section. However, to complete the setup, we are now paying attention to text-to-speech (TTS) processing, which can be extremely useful when creating voice assistants, speaking devices or integration with home automation (HA) systems. Although the best TTS systems currently available are online services such as ElevenLabs (paid) that offer the highest voice quality, or Google Text to Speech (details in a separate section), here we focus on offline text-to-speech processing.\u003c\/p\u003e\u003cp\u003eAfter searching the internet for the best, quick and easy to install offline option, Piper stands out as the best choice (if you find something better, let us know).\u003c\/p\u003e\u003cp\u003ePiper is fast, generates high-quality voice in real time and is optimized for the Raspberry Pi 4. Although its installation is simple, I have further simplified it for you, and you will find a demonstration with a description below.\u003c\/p\u003e\u003cp\u003eYou can test Piper at:\u003c\/p\u003e\u003cp\u003ehttps:\/\/rhasspy.github.io\/piper-samples\/\u003c\/p\u003e\u003cp\u003ePiper on GitHub:\u003c\/p\u003e\u003cp\u003ehttps:\/\/github.com\/rhasspy\/piper\u003c\/p\u003e\u003cp\u003ehttps:\/\/github.com\/rhasspy\/piper-phonemize (additional component)\u003c\/p\u003e\u003cp\u003eVoices for Piper:\u003c\/p\u003e\u003cp\u003ehttps:\/\/huggingface.co\/rhasspy\/piper-voices\/tree\/main\u003c\/p\u003e\u003cp\u003e\u003cb\u003eGitHub:\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003ehttps:\/\/github.com\/SaraEye (C++, Python examples)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eYouTube SaraKIT Playlist:\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003ehttps:\/\/www.youtube.com\/playlist?list=PLOJbQ7GTI25qS3W62p32KOe1jh8DDpwMb\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eGroup\u003c\/th\u003e\n\u003cth\u003eName\u003c\/th\u003e\n\u003cth\u003eValue\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eParametry\u003c\/td\u003e\n\u003ctd\u003eCondition\u003c\/td\u003e\n\u003ctd\u003enew\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eParametry\u003c\/td\u003e\n\u003ctd\u003eInvoice\u003c\/td\u003e\n\u003ctd\u003eWith VAT invoice\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eParametry\u003c\/td\u003e\n\u003ctd\u003eManufacturer code\u003c\/td\u003e\n\u003ctd\u003eSARAKIT-V-01 without accesories\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eParametry\u003c\/td\u003e\n\u003ctd\u003eManufacturer\u003c\/td\u003e\n\u003ctd\u003eno brand\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eParametry\u003c\/td\u003e\n\u003ctd\u003eKind\u003c\/td\u003e\n\u003ctd\u003eExpansion board\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eParametry\u003c\/td\u003e\n\u003ctd\u003eEAN (GTIN)\u003c\/td\u003e\n\u003ctd\u003e5905325879025\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eParametry\u003c\/td\u003e\n\u003ctd\u003ePackaging status\u003c\/td\u003e\n\u003ctd\u003eoriginal\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"SaraKIT","offers":[{"title":"Default Title","offer_id":46154031759420,"sku":"15688819966","price":99.73,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0618\/2161\/6188\/files\/SaraKIT-PCB-Set-board-for-Raspberry-Pi-CM4.jpg?v=1789227578","url":"https:\/\/market365.lt\/et\/products\/plokstes-rinkinys-sarakit-raspberry-pi-cm4","provider":"Market365","version":"1.0","type":"link"}