Using AI for voice conversion
Respeecher is an AI-based voice conversion tool that can convert between different people's voices. It uses deep neural network technology and only needs to provide a small amount of sample audio to train a clone version of the target person's voice. Respeecher's voice conversion effect is very realistic and can be used in various creative fields such as games and film and television dubbing. It provides a free trial and supports uploading your own recorded audio for voice conversion. The main functions include voice conversion, voice shaping, voice dubbing, etc.
Game character dubbing
Dubbing for film and television works
Video creation dubbing
Voice design
Game companies use Respeecher to voice characters of different genders and ages in new games
YouTuber uses Respeecher to convert his own voice into that of a cartoon character
Voice actors use Respeecher to transform their voiceovers into the voices of stars
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Kimi-Audio is an advanced open source audio base model designed to handle a variety of audio processing tasks such as speech recognition and audio dialogue. The model is massively pre-trained on more than 13 million hours of diverse audio and text data, with powerful audio inference and language understanding capabilities. Its main advantages include excellent performance and flexibility, making it suitable for researchers and developers to conduct audio-related research and development.
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Mico Intelligence is a one-stop audio and video service powered by artificial intelligence such as voice translation, timbre customization, and dubbing. It uses AI technology to extremely simplify complex operations and improve work efficiency by more than 90%. Functions include voice translation, which translates audio and video voices into voices in other languages. The entire process is AI-driven with an accuracy of over 98%; timbre customization, which customizes personalized timbres for voice translation, dubbing and other functions; speech synthesis, which converts text into natural and vivid speech. The products are reasonably priced and have a wide range of usage scenarios, suitable for cross-border marketing, education, media and other fields.
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ABox is a multifunctional voice-changing application that helps users protect privacy, restore vocal cord damage, and enable gender-diverse individuals to express themselves freely. No matter what your needs are, ABox provides a sound-free solution.
Denoiser is an iOS app that removes noise and noise from recordings, giving them a professional music studio look. By dragging and dropping noise recording files, the AI algorithm will automatically process and improve the recording quality. Users can adjust the degree of noise reduction as needed and download the processed files. Detailed research papers can be found on the official website. You are welcome to share your ideas with the team.
Welcome to the future of voice technology! Enhance your voice to professional-grade quality with an unprecedented high-quality audio experience through generative voice AI. Whether you're recording a podcast, using low-quality headphones, or dealing with annoying background noise, our technology can elevate your audio to professional-grade quality. Our AI speech enhancement technology uses advanced algorithms to improve the clarity and quality of spoken language. Not only can we suppress background noise, we can also eliminate room resonances, compensate for low-quality headphones and fix digital artifacts. We can even recover missing components and frequencies in the audio signal! Even using cheap headphones in a noisy office, your voice can sound like it was recorded in a music studio. Our AI speech enhancement technology is ideal for any audio-focused application. Whether you're building a video conferencing application, a podcast platform, audio recording or transmission hardware, or any other type of voice product, our technology will improve speech intelligibility, reduce misunderstandings, and increase user attention, making communication more effective and engaging.
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