Web8 mei 2024 · Transferring Neural Speech Waveform Synthesizers to Musical Instrument Sounds Generation Abstract: Recent neural waveform synthesizers such as WaveNet, … Web7 apr. 2024 · A comparison of recent waveform generation and acoustic modeling methods for neural-network-based speech synthesis. Recent advances in speech synthesis …
Two-level discriminative speech emotion recognition model …
Web23 jun. 2024 · Empirical evidence shows that the proposed causal speech enhancement model, based on an encoder-decoder architecture with skip-connections, is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. We present a causal speech enhancement model working on … Web30 apr. 2024 · Abstract: Conventional monaural speech enhancement methods usually enhance the magnitude spectrum of noisy speech and leave the phase unchanged. Recent studies suggest that phase is also important for both speech intelligibility and perceptual quality. Although deep learning exhibits great potential on enhancing the magnitude and … tim whealton cove city nc
A Joint Framework of Denoising Autoencoder and Generative Vocoder …
WebIndex Terms : speech synthesis, neural vocoder, phase recon-struction, MUSHRA, listening test 1. Introduction The aim of text-to-speech (TTS) synthesis is to convert a given text into a speech waveform. For many years, the state-of-the art technique for synthesizing natural sounding speech was to select and concatenate short speech segments WebThis paper presents a waveform modeling and generation method for speech bandwidth extension (BWE) using stacked dilated convolutional neural networks (CNNs) with causal or non-causal convolutional layers. Such dilated CNNs describe the predictive distribution for each wideband or high-frequency speech sample conditioned on the input narrowband ... WebAbstract. This chapter provides an overview of the various methods and techniques used for assessment of speech quality. A summary is given of some of the most commonly used listening tests designed to obtain reliable ratings of the quality of processed speech from human listeners. Considerations for conducting successful subjective listening ... parts of the human ear and their functions