Abstract: Recently, GAN vocoders have seen rapid progress in speech synthesis, starting to outperform autoregressive models in perceptual quality with much higher generation speed. However, ...

Abstract: This article presents a neural vocoder named HiNet which reconstructs speech waveforms from acoustic features by predicting amplitude and phase spectra hierarchically. Different from ...

Recent advances in speech enhancement (SE) have moved beyond traditional mask or signal prediction methods, turning instead to pre-trained audio models for richer, more transferable features. These ...

Although deep neural networks have facilitated significant progress of neural vocoders in recent years, they usually suffer from intrinsic challenges like opaque modeling, inflexible retraining under ...

Casey Benjamin, whose saxophone gleam and vocoder-processed singing exerted a deep influence on the last 20 years of jazz-infused hip-hop and R&B, died on March 30 in Maryland. He was 45. His death ...

Leading by example might seem obvious, but why do so many bosses fail to walk the talk? Many years ago, a CEO asked me to conduct a leadership training seminar on decision-making for his organization.

There are many different types of leadership styles and many different ways to be successful as a leader. Looking back on history, you'll find plenty of examples of successful people using different ...

An About Us page is an integral piece of content to have on your website. Every single successful business has one, no matter their industry or what they sell. After all, every brand has a story – and ...

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), ...