concatenative synthesis wikipedia - EAS
- Xem thêmXem tất cả trên Wikipediahttps://en.wikipedia.org/wiki/Concatenative_synthesis
Concatenative synthesis is a technique for synthesising sounds by concatenating short samples of recorded sound (called units). The duration of the units is not strictly defined and may vary according to the implementation, roughly in the range of 10 milliseconds up to 1 second. It is used in
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https://zh.wikitrev.com/wiki/Concatenative_synthesis级联综合 - Concatenative synthesis - Wikipedia 级联综合 是一种通过串联录制的声音的短样本来合成声音的技术(称为 单位 )。 单元的持续时间没有严格定义,并且可以根据实现方式而有所不同,大约在10毫秒到1秒的范围内。
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- https://en.wikipedia.org/wiki/Talk:Concatenative_synthesis
Concatenative synthesis is within the scope of WikiProject Disability.For more information, visit the project page, where you can join the project and/or contribute to the discussion. Stub This article has been rated as Stub-Class on the project's quality scale
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- https://en.wikipedia.org/wiki/Speech_synthesisXem thêm trên en.wikipedia.orgLong before the invention of electronic signal processing, some people tried to build machines to emulate human speech. Some early legends of the existence of "Brazen Heads" involved Pope Silvester II (d. 1003 AD), Albertus Magnus (1198–1280), and Roger Bacon(1214–1294). In 1779 the German-Danish scientis…
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- https://commons.wikimedia.org/wiki/Category:Concatenative_synthesis
Media in category "Concatenative synthesis" The following 5 files are in this category, out of 5 total. Vocaloid Pitch Conversion and Timbre Manipulation - en.jpg 480 × 430; 66 KB
- https://wiki.aalto.fi/display/ITSP/Concatenative+speech+synthesis
Nov 26, 2021 · Concatenative speech synthesis. Concantenative speech synthesis (CSS), also known as unit selection speech synthesis, is one of the two primary modern speech synthesis techniques together with statistical parametric speech synthesis. As the name suggests, CSS is based on concatenation of pre-recorded speech segments in order to create ...
- https://en.wikipedia.org/wiki/Deep_learning_speech_synthesis
Deep learning speech synthesis uses Deep Neural Networks (DNN) to produce artificial speech from text (text-to-speech) or spectrum (vocoder). The deep neural networks are trained using a large amount of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.
- https://en.wikipedia.org/wiki/Distortion_synthesis
Distortion synthesis is a group of sound synthesis techniques which modify existing sounds to produce more complex sounds (or timbres), usually by using non-linear circuits or mathematics.. While some synthesis methods achieve sonic complexity by using many oscillators, distortion methods create a frequency spectrum which has many more components than oscillators.
- https://www.academia.edu/es/1217943/A...
Concatenative synthesis has the achieving this by using a human-like voice are the fundamental potential for producing the most natural-sounding synthesized concerns of a computer system capable of speaking. Within the speech. However, differences between natural variations in research community, these goals are referred to as intelligibility ...
- https://wiki.inf.ed.ac.uk/twiki/pub/CSTR/Speak08To09/IS080193.PDF
the performance of a MFS synthesis against traditional concatenative systems are given, and finally in section 7, conclusions are drawn from this work. 2. Multiform Segment synthesis MFS synthesis is defined as a method of employing segments having a plurality of different speech representational structures for speech construction. A segment or ...
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