![]() ![]() ![]() The speak function allows you to synthesize text easily. The say module is an object that offers 3 methods (dependently of the OS some functions will not work as expected or may not be available): Speak function You can read more about the say module in the official repository in Github here. Voice variants for the voices - male and female, and 5 variants of each, and 'croak' and 'whisper'. ![]() To install this module, execute the following command in your terminal: npm install sayĪfter the installation, you'll be able to access this module using require("say"). Say is a TTS (text to speech) library for node that sends text from node.js to your speakers. In order to convert text to speech, we'll depend of the say module. The say module doesn't depend on any remote service as it will use the native TTS service of the system (Linux with Festival, MacOS with Mac OS X text to speech using AppleScript and Windows with SAPI). Although such a features is specially used in mobile applications such as voice-enabled e-mail and unified messaging apps, you can implement a very simple TTS system in Node.js using the say module. More details can be found here.The speech synthesis is used to convert written information into sound where it is more convenient for humans. However, it is recommended to run it on a Mac powered by the M1 chip or greater. The tool works with Macs running macOS Monterey and later. However, those who want the Medium and Large transcription models must purchase MacWhisper Pro for €10. But of course, users can choose the transcription model that best suits their needs. The Medium and Large models offer more accurate transcriptions, but take up more Mac storage space. Since the app processes the audio files locally, it comes with four different transcription models: Tiny, Base, Medium, and Large. This includes English, Chinese, German, Spanish, Italian, Portuguese, and Ukrainian. The tool works with MP3, WAV, M4A audio files, and also with MP4 video files.īut one of the best things about MacWhisper is that the transcription works with multiple different languages. The whole process is very quick, and once the transcript is available, you can copy and edit the text, or even export it as SRT and VTT subtitles. You just drag audio files into the app to get a transcript. Using MacWhisper is quite simple and intuitive. MacWhisper runs locally on your Mac, so your files never leave your device and you don’t have to pay for Whether you’re recording a meeting, lecture, or other important audio, MacWhisper quickly and accurately transcribes your audio files into text. Quickly and easily transcribe audio files into text with OpenAI’s state-of-the-art transcription technology Whisper. Signal uses your phones data connection so you can avoid SMS and MMS fees. In other words, no one has access to the audio files you transcribe, which makes the whole process private and secure. Share text, voice messages, photos, videos, GIFs and files for free. All processing is done locally on the Mac, which means that your audio files are never sent to an online server. The app uses the “state-of-the-art” Whisper technology, which is part of OpenAI. ![]() As mentioned before, this new app is capable of understanding what’s being said in audio files to transform that into text. However, MacWhisper has a completely different purpose than Vivid. MacWhisper was developed by Jordi Bruin, who’s also behind Vivid – a tool that enables system-wide HDR on compatible MacBooks and external displays. MacWhisper locally transcribes audio files on Mac But now there ‘s a new macOS app called MacWhisper that uses OpenAI technology to locally transcribe audio files into text. Select the MP3 format from the drop-down and enter the script for the audio, then click the Create Audio button. A set of additional options will show, including the file format. We’ve seen the use of AI tools for a lot of things recently, like generating text and images from simple sentences. To make text to speech MP3 with natural voices, use the Narakeet text-to-audio tool, and click on the plus button next to the voice selector. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |