The term “differentiable digital signal processing” describes a family of techniques in which
loss function gradients are backpropagated through digital signal processors, facilitating …

Speech is one of the most important human biosignals. However, only some speech
production characteristics are fully understood, which are required for a successful speech …

Oil refineries have high operating expenses and are often exposed to increased asset
integrity risks and functional failure. Real-time monitoring of their operations has always …

We propose an optimization-based method for reconstructing a time-domain signal from a
low-dimensional spectral representation such as a mel-spectrogram. Phase reconstruction …

This paper proposes a novel bidirectional neural vocoder, named BiVocoder, capable both
of feature extraction and reverse waveform generation within the short-time Fourier …

We present a neural vocoder designed with low-powered Alternative and Augmentative
Communication devices in mind. By combining elements of successful modern vocoders …

Designing expressive speech synthesis for child voice remains an unresolved problem. One
of the major dilemmas faced by child TTS systems and child speech synthesis is the scarcity …

Significant progress has been made in the development of text-to-speech (TTS) models;
however, synthesizing child speech remains a challenging task. Limited research has been …

This paper presents FastFit, a novel neural vocoder architecture that replaces the U-Net
encoder with multiple short-time Fourier transforms (STFTs) to achieve faster generation …

Научная новизна: предложен новый метод инверсии спектрограмм на основе
рассечения-разнесения образа исходной спектрограммы для получения более точных …