Reverb is an open-source inference codebase for speech recognition and speaker segmentation models, utilizing the WeNet framework for ASR and the Pyannote framework for speaker segmentation. It offers detailed model descriptions and allows users to download models from Hugging Face. Reverb aims to provide developers and researchers with high-quality tools for various speech processing tasks.

DictionaryByGPT4 is an English word learning tool generated by the GPT4 model. By analyzing over 8000 words, it provides comprehensive information for each word, including meanings, examples, roots and affixes, forms, cultural background, memorization techniques, and mini-stories, assisting users in understanding the origin, usage scenarios, and memorization methods of words. This product is especially suitable for learners in need of improving their vocabulary and comprehension of the English language.

Sherpa-onnx is a speech recognition and speech synthesis project based on the next-generation Kaldi, utilizing onnxruntime for inference. It supports a wide range of speech-related functionalities, including automatic speech recognition (ASR), text-to-speech (TTS), speaker recognition, speaker verification, language identification, and keyword detection. It is compatible with various platforms and operating systems, including embedded systems, Android, iOS, Raspberry Pi, RISC-V, and servers.

This is a Duolingo clone website built using Next.js 14, React, Drizzle ORM, Stripe, etc. Key features include: AI voice learning, beautiful component system, role-playing, user authentication, sound effects, heart life system, points/experience value system, past course review for heart recovery, leaderboards, task milestones, shop system, paid unlimited hearts, login page, admin dashboard, ORM using Drizzle, PostgresDB using NeonDB, Vercel deployment, and mobile responsiveness. It is positioned as a comprehensive language learning website.

WhisperFusion is a product powered by WhisperLive and WhisperSpeech functionalities. It enables seamless AI conversation by integrating the Mistral large language model (LLM) into the real-time speech-to-text process. Both Whisper and LLM are optimized with the TensorRT engine to maximize performance and real-time processing capabilities. WhisperSpeech utilizes torch.compile for optimization. The product is focused on delivering an ultra-low latency AI real-time conversation experience.

Enjoy App is dedicated to English learning, utilizing AI technology to help users correct pronunciation, track learning progress, and leverage a wealth of online resources for language acquisition. The app promotes hands-on learning while bypassing cumbersome methodologies, aiming to help users master English skills through 1000 hours of focused training. It supports audio and video shadowing, AI-driven natural conversations, and a memory enhancement system, making it a powerful tool for learning English. Enjoy App's pricing strategy is usage-based, with new users receiving an initial balance that can be topped up for additional services.

Reverb is an open-source inference codebase for speech recognition and speaker segmentation models, utilizing the WeNet framework for ASR and the Pyannote framework for speaker segmentation. It offers detailed model descriptions and allows users to download models from Hugging Face. Reverb aims to provide developers and researchers with high-quality tools for various speech processing tasks.

DictionaryByGPT4 is an English word learning tool generated by the GPT4 model. By analyzing over 8000 words, it provides comprehensive information for each word, including meanings, examples, roots and affixes, forms, cultural background, memorization techniques, and mini-stories, assisting users in understanding the origin, usage scenarios, and memorization methods of words. This product is especially suitable for learners in need of improving their vocabulary and comprehension of the English language.

Sherpa-onnx is a speech recognition and speech synthesis project based on the next-generation Kaldi, utilizing onnxruntime for inference. It supports a wide range of speech-related functionalities, including automatic speech recognition (ASR), text-to-speech (TTS), speaker recognition, speaker verification, language identification, and keyword detection. It is compatible with various platforms and operating systems, including embedded systems, Android, iOS, Raspberry Pi, RISC-V, and servers.

Think in Italian is an online audio course designed specifically for Italian. Through this course, you can start thinking in Italian within days. It offers a series of audio lessons to help you improve your listening, speaking, and comprehension skills. The course also includes cultural background knowledge to help you better integrate into Italian society. Think in Italian offers courses at different difficulty levels, suitable for both beginners and learners with some prior knowledge. Prices vary depending on the course options and can be viewed on the official website for more information.

Master authentic Italian conversations with a personalized AI tutor. Enjoy courses tailored to your personality and learning style. Free trial, no credit card required.

This is a Duolingo clone website built using Next.js 14, React, Drizzle ORM, Stripe, etc. Key features include: AI voice learning, beautiful component system, role-playing, user authentication, sound effects, heart life system, points/experience value system, past course review for heart recovery, leaderboards, task milestones, shop system, paid unlimited hearts, login page, admin dashboard, ORM using Drizzle, PostgresDB using NeonDB, Vercel deployment, and mobile responsiveness. It is positioned as a comprehensive language learning website.

WhisperFusion is a product powered by WhisperLive and WhisperSpeech functionalities. It enables seamless AI conversation by integrating the Mistral large language model (LLM) into the real-time speech-to-text process. Both Whisper and LLM are optimized with the TensorRT engine to maximize performance and real-time processing capabilities. WhisperSpeech utilizes torch.compile for optimization. The product is focused on delivering an ultra-low latency AI real-time conversation experience.

Trancy helps you learn languages through YouTube, Netflix, Udemy, and Coursera by providing AI bilingual subtitles and ChatGPT AI web translation. Besides subtitles, we innovatively developed reading and practice modes that utilize OpenAI and ChatGPT3.5 technology to comprehensively enhance your listening and speaking abilities. You can also build your own learning database by collecting videos, sentences, and words, allowing for anytime, anywhere practice and consolidation.