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Adobe Enhanced Speech is an online artificial intelligence software tool by Adobe that aims to significantly improve the quality of recorded speech that may be badly muffled, reverberated, full of artifacts, tinny, etc. and convert it to a studio-grade, professional level, regardless of the initial input's clarity. [1]
Released as free software in 2004 BSD-3-Clause (since OpenMPT 1.17.02.53) / GPL-2.0-or-later, partly public domain: SoundTracker: Yes No Yes No Fast Tracker clone GPL-2.0-or-later: SunVox: Alexander Zolotov Yes Yes Yes Yes Also runs on Windows CE. Proprietary (Music Creation Studio) BSD-3-Clause (Engine) Noise Station: Mark Sheeky No No No Yes ...
Nowadays, software implementations are very common. There is a plethora of techniques that modify the voice by using different algorithms. [8] [9] Most algorithms modify the voice by changing the amplitude, pitch and tone of the voice. The pitch plays an important role from changing a male voice into female voice, and vice versa.
Vocaloid (ボーカロイド, Bōkaroido) is a singing voice synthesizer software product. Its signal processing part was developed through a joint research project between Yamaha Corporation and the Music Technology Group in Universitat Pompeu Fabra, Barcelona. [1]
T-Pain, the R&B singer and rapper who reintroduced the use of Auto-Tune as a vocal effect in pop music with his album Rappa Ternt Sanga in 2005, said, "My dad always told me that anyone's voice is just another instrument added to the music. There was a time when people had seven-minute songs, and five minutes were just straight instrumental. ...
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Audacity is a free and open-source digital audio editor and recording application software, available for Windows, macOS, Linux, and other Unix-like operating systems. [ 4 ] [ 5 ] As of December 6, 2022, Audacity is the most popular download at FossHub, [ 8 ] with over 114.2 million downloads since March 2015.
A stack of dilated casual convolutional layers used in WaveNet [1]. In September 2016, DeepMind proposed WaveNet, a deep generative model of raw audio waveforms, demonstrating that deep learning-based models are capable of modeling raw waveforms and generating speech from acoustic features like spectrograms or mel-spectrograms.
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