Voice recognition comprehensive platform

0.6 C++🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy. voice 7 2 1,899 2.4 TypeScript:microphone: React Native Voice Recognition library for iOS and Android (Online and Offline Support) (by react-native-voice) Nutrientnutrient.iofeaturedNutrient - The #1 PDF SDK Library.Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free. voice_datasets 8 3 1,857 3.1🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets). mycroft-precise 10 3 880 0.0 PythonA lightweight, simple-to-use, RNN wake word listener EDDiscovery 11 119 797 9.7 C#Captains log and 3d star map for Elite Dangerous rhino 12 5 645 8.1 PythonOn-device Speech-to-Intent engine powered by deep learning (by Picovoice) picovoice 14 13 621 7.8 PythonOn-device voice assistant platform powered by deep learning cheetah 15 5 619 8.1 PythonOn-device streaming speech-to-text engine powered by deep learning (by Picovoice) Voice Overlay iOS 16 0 548 0.0 Swift🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI SwiftSpeech 17 1 485 0.0 SwiftA speech recognition framework designed for SwiftUI. leopard 18 15 448 8.0 PythonOn-device speech-to-text engine powered by deep learning vosk 19 2 390 0.0 CVOSK Speech Recognition Toolkit Caster 20 7 344 5.7 PythonDragonfly-Based Voice Programming and Accessibility Toolkit speak-gpt 21 1 342 8.3 KotlinYour personal voice assistant based on OpenAI ChatGPT. LiveWhisper 22 2 337 0.0 PythonA nearly-live implementation of OpenAI's Whisper, using sounddevice. Requires existing Whisper install. gpt-voice-conversation-chatbot 23 4 305 5.0 PythonAllows you to have an engaging and safely emotive spoken / CLI conversation with the AI ChatGPT / GPT-4 while giving you

Published on May 6, 2024Have you ever found yourself in a situation where you needed to quickly jot down an idea or reminder, but didn't have a pen and paper handy? Voice memos have become an increasingly popular solution for capturing thoughts on the go. However, transcribing these audio recordings into written text can be a time-consuming task. In this comprehensive guide, we'll explore various methods for converting voice memos to text across different devices and introduce an all-in-one solution to streamline the process.Recording Voice Memos:Before we dive into the transcription process, let's first look at how to record voice memos on popular devices:iPhone and Mac: Open the Voice Memos app, tap the red record button, and start speaking. Tap the red square to stop recording. Your recordings will automatically sync across your Apple devices via iCloud, allowing you to access them on both your iPhone and Mac.Android: Launch a voice recording app like Google's Recorder, tap the microphone icon, and begin recording. Tap the pause button to finish.Windows: Use the built-in Voice Recorder app, click the microphone icon to start recording, and click the stop button to finish.Transcribing Voice Memos:Now that you have your voice memo recorded, it's time to convert it into text. Here are a few options:Whisper API: Whisper is an open-source automatic speech recognition (ASR) system developed by OpenAI. It can be used to transcribe voice memos with high accuracy. Developers can integrate the Whisper API into their applications to enable voice-to-text functionality.Google Docs Voice Typing: If you have a Google account, you can use the Voice Typing feature in Google Docs. Simply open a new document, go to Tools > Voice Typing, and start speaking. Google will transcribe your speech in real-time.Apple's Dictation: For Apple users, the built-in Dictation feature can be used to transcribe voice memos. On a Mac, open a text editor, go to Edit > Start Dictation, and begin speaking. On an iPhone or iPad, tap the microphone icon on the keyboard and start dictating.Audio-Docs: The All-in-One Solution:While the above methods work well, they require multiple steps and tools. Audio-Docs is an innovative solution that combines recording and automatic transcription into a single, user-friendly platform. With Audio-Docs, you can:Record or Upload high-quality voice memos directly within the appHave your recordings automatically transcribed using advanced speech recognition technologyEdit and organize your transcriptions with easeShare your voice memos and transcriptions with othersAccess your recordings and transcriptions from any deviceAudio-Docs eliminates the need to switch between different apps and streamlines the entire process from recording to transcription.Conclusion:Converting voice memos to text has never been easier, thanks to the various tools and technologies available today. Whether you prefer using device-specific features like Apple's Voice Memos and Dictation or third-party APIs like Whisper, there's a solution for everyone. However, if you're looking for an all-in-one platform that simplifies the process and saves you time, Audio-Docs is definitely worth checking out. With its seamless integration of recording and automatic transcription, Audio-Docs is the ultimate tool for anyone looking

Time to improve its accuracy and performance.Recommended solution:To manage the SRS data collection cost, check out this comprehensive article on different data collection methods to find the best option for your budget and project needs.If the development process is unaffordable, you can consider outsourcing the development or considering ready-made SRSs.FAQsWhat problems might occur when using speech recognition?Problems that might occur when using speech recognition:– Difficulty understanding different accents or dialects.– Misinterpretation due to background noise.– Challenges with homonyms or similar-sounding words.– Struggles with speech impairments.– Privacy concerns related to recording and processing voice data.What are the limitations of speech recognition?Speech recognition technology has several limitations, including difficulty accurately interpreting various accents, dialects, and speech impediments. Background noise and poor audio quality can significantly reduce recognition accuracy. The technology often struggles with homonyms and context-dependent language, leading to misinterpretations. Additionally, privacy concerns arise due to the need to record and process voice data, and recognizing speech in noisy environments or with multiple speakers remains a challenge.Further readingSpeech Recognition: Everything You Need to KnowTop 11 Speech Recognition ApplicationsAudio Annotation: What is it & why is it important?Top 3 Methods for Audio Sentiment AnalysisExternal resources1. Speech Recognition – Worldwide. Statista. Accessed: 06/Sep/2024.2. Barriers to voice technology adoption worldwide as of 2020 Statista. Accessed: 06/Sep/2024.3. What is WER? What Does Word Error Rate Mean? Rev. Accessed: 16/Sep/2024.4. Researchers find Amazon uses Alexa voice data to target you with ads. The Verge. Accessed: 16/September/2024.5. Data security and privacy on devices that work with Assistant. Google. Accessed: 16/September/2024.

Voice-AssistantVoice-Assistant is a C# program that utilizes Microsoft's Speech Platform to provide voice recognition and text-to-speech capabilities. This software is designed to enable a seamless way of communicating with a computer using voice commands, allowing users to interact with their computer naturally. Voice-Assistant is highly customizable and supports multiple languages through user-packaged language models (UPLMs), making it a versatile solution for users with different needs.TechnologiesC# programming languageMicrosoft's Speech Platform.NET FrameworkFeaturesExecutes any task that can be run through the terminal, including opening applications, playing music, executing system commands, and more.Provides text-to-speech capabilities for user feedback, enabling users to receive audible confirmation when a task has been completed successfully.Supports multiple languages through user-packaged language models (UPLMs), making it accessible to users worldwide.Supports voice recognition for different users, enabling multiple users to interact with their computer using their voice.Highly customizable and extendable, allowing users to define new commands and actions.PrerequisitesBefore using Voice-Assistant, make sure you have the following:Microsoft Speech Platform Runtime (x86) and Microsoft Speech Platform SDK (x86) installed on your computer. You can download these components from the Microsoft website.A microphone available and properly configured to use the voice recognition features.An internet connection to download the necessary UPLMs for your desired language.A complete language package for your desired language installed on your computer. Note that not all languages have complete language packages available. If a complete language package is not available, Voice-Assistant may not be able to recognize certain words or phrases in that language.How it worksVoice-Assistant uses text-to-speech to receive voice inputs and execute commands. The software reads the voice entry and compares it to the commands written on a TextFiles/DefaultCommands.txt file. If the voice entry matches an action case, the software responds with the programmed response.UsageTo use the software, follow these steps:Clone the repository to your local machine.Open the VoiceAssistant.sln