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Retrieval-based Voice Conversion (RVC) is an open source voice conversion AI algorithm that enables realistic speech-to-speech transformations, accurately preserving the intonation and audio characteristics of the original speaker.
DEEP-VOICE [75] is a publicly available dataset intended for research purposes to develop systems to detect when speech has been generated with neural networks through a process called Retrieval-based Voice Conversion (RVC). Preliminary research showed numerous statistically-significant differences between features found in human speech and ...
Retrieval-based Voice Conversion RVC, a Japanese record label founded as a joint venture between RCA Records and Victor Company of Japan Topics referred to by the same term
Gnuspeech is an extensible text-to-speech computer software package that produces artificial speech output based on real-time articulatory speech synthesis by rules. That is, it converts text strings into phonetic descriptions, aided by a pronouncing dictionary, letter-to-sound rules, and rhythm and intonation models; transforms the phonetic descriptions into parameters for a low-level ...
CereProc mined tapes and DVD commentaries featuring Ebert's voice to create a text-to-speech voice that sounded more like his own. [4] Roger Ebert used the voice in his March 2, 2010, appearance on The Oprah Winfrey Show. NFL player Steve Gleason had his voice cloned by CereProc following his diagnosis with MND.
Speech and Song are this program's main features. The Speech portion offers a large dictionary of words to which Sato Sasara, Suzuki Tsudumi, and Takahashi speak from and are accurate in the Japanese language, although the option to manually edit it exists as well. The Speech portion was created with help of the HTS method.
Pages in category "Speech synthesis" The following 55 pages are in this category, out of 55 total. ... Retrieval-based Voice Conversion; S. SABLE; Self-voicing;
DECtalk demo recording using the Perfect Paul and Uppity Ursula voices. DECtalk [4] was a speech synthesizer and text-to-speech technology developed by Digital Equipment Corporation in 1983, [1] based largely on the work of Dennis Klatt at MIT, whose source-filter algorithm was variously known as KlattTalk or MITalk.