As of my last update in January 2022, there are various AI-powered tools and platforms available for generating voice and creating music. Here are some options:
AI Voice Generators
Google Cloud Text-to-Speech: Google offers a powerful text-to-speech service that utilizes AI for natural-sounding speech synthesis.
Amazon Polly: Amazon’s text-to-speech service is capable of generating lifelike speech from text.
IBM Watson Text to Speech: IBM Watson provides a text-to-speech service that can convert written text into natural-sounding audio in multiple languages.
Microsoft Azure Text to Speech: Microsoft’s Azure platform offers a text-to-speech service with natural-sounding voices.
DeepMind’s WaveNet: Developed by DeepMind, WaveNet is a deep generative model of raw audio waveforms, capable of producing high-quality and natural-sounding speech.
AI Song Generators
Amper Music: Amper Music is an AI music composition platform that allows users to create custom music tracks quickly.
Jukedeck: Jukedeck offers AI-generated music for videos, games, and other projects. Users can customize the style, tempo, and duration of the music.
AIVA: AIVA (Artificial Intelligence Virtual Artist) is an AI composer that creates original music compositions in various styles and genres.
Magenta by Google: Magenta is a research project exploring the role of machine learning as a tool in the creative process, including music generation.
OpenAI’s MuseNet: MuseNet is an AI model developed by OpenAI capable of generating musical compositions in various styles and genres.
These tools and platforms utilize various machine learning techniques, including deep learning, to generate voices and music. They often require users to input parameters or preferences to guide the generation process and can produce a wide range of results, from simple text-to-speech conversions to complex, original musical compositions. It’s essential to explore and experiment with different tools to find the one that best suits your needs and preferences.
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