Abstract: This paper presents a denoising and dereverberation hierarchical neural vocoder (DNR-HiNet) to convert noisy and reverberant acoustic features into clean speech waveforms. The DNR-HiNet ...

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 ...

For most websites, the homepage represents your brand’s first interaction with your audience on your website. As the catch-all landing page where people will be sent by default, your homepage needs to ...

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 ...

Tacotron모델과 Wavenet Vocoder를 결합하여 한국어 TTS구현하는 project입니다. Tacotron2에서는 모델 구조도 바뀌었고, Location Sensitive Attention, Stop Token, Vocoder로 Wavenet을 제안하고 있다. Tacotron2의 구현은 Rayhane-mamah의 것이 있는데, 이 역시, ...

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 ...

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), ...