Information, Free Full-Text

Por um escritor misterioso

Descrição

The use of the mel spectrogram as a signal parameterization for voice generation is quite recent and linked to the development of neural vocoders. These are deep neural networks that allow reconstructing high-quality speech from a given mel spectrogram. While initially developed for speech synthesis, now neural vocoders have also been studied in the context of voice attribute manipulation, opening new means for voice processing in audio production. However, to be able to apply neural vocoders in real-world applications, two problems need to be addressed: (1) To support use in professional audio workstations, the computational complexity should be small, (2) the vocoder needs to support a large variety of speakers, differences in voice qualities, and a wide range of intensities potentially encountered during audio production. In this context, the present study will provide a detailed description of the Multi-band Excited WaveNet, a fully convolutional neural vocoder built around signal processing blocks. It will evaluate the performance of the vocoder when trained on a variety of multi-speaker and multi-singer databases, including an experimental evaluation of the neural vocoder trained on speech and singing voices. Addressing the problem of intensity variation, the study will introduce a new adaptive signal normalization scheme that allows for robust compensation for dynamic and static gain variations. Evaluations are performed using objective measures and a number of perceptual tests including different neural vocoder algorithms known from the literature. The results confirm that the proposed vocoder compares favorably to the state-of-the-art in its capacity to generalize to unseen voices and voice qualities. The remaining challenges will be discussed.
Information, Free Full-Text
Access millions of research papers in one click.
Information, Free Full-Text
Snowflake + ChatGPT: Release your information from the 'free text
Information, Free Full-Text
Need the Full Text Article?
Information, Free Full-Text
Frontiers The Potential of Research Drawing on Clinical Free
Information, Free Full-Text
Dimensions - free version
Information, Free Full-Text
Brewpub Menu — HOMES Brewery
Information, Free Full-Text
What is Europe PMC?
Information, Free Full-Text
Citation Statistics and Citation Rings – Science Integrity Digest
Information, Free Full-Text
Ontology-based clinical information extraction from physician's
Information, Free Full-Text
OA and Reuse
de por adulto (o preço varia de acordo com o tamanho do grupo)