Abstract: This paper introduces V2Coder, a non-autoregressive vocoder based on hierarchical variational autoencoders (VAEs). The hierarchical VAE with hierarchically extended prior and approximate ...

Abstract: Vocoder-based speech synthesis has become a promising technique to accommodate the demands of high-quality speech analysis, manipulation, and synthesis. However, most existing works focus on ...

AT the World's Fairs in New York and San Francisco great interest was shown in the speech synthesizer shown in the Bell System exhibits. In the December number of the Bell Laboratories Record, H.

In the rapidly developing field of audio synthesis, Nvidia has recently introduced BigVGAN v2. This neural vocoder breaks previous records for audio creation speed, quality, and adaptability by ...

Musicians are always looking for innovative ways to explore musical possibilities. These include new techniques to improve the flexibility and fidelity of the music and add new effects. Among these ...

The MatrixBrute Noir features a stylish limited-edition black paint job. Announced earlier this year, the limited-edition Arturia MatrixBrute Noir features a stylish all-black paint job. The ...

In the earliest days of synthesis, instruments were monophonic. They could only create a single sound at once or, in some cases, simple duophonic chords by cleverly detuning oscillators. To create ...

Neural vocoders are artificial neural networks that use auditory data to produce a voice waveform. They are essential components of modern speech-generating applications. They are employed as the ...

A neural vocoder is a neural network designed to generate speech waveforms given acoustic features — often used as a backbone module for speech recognition tasks such as text-to-speech (TTS), ...