CereProc

CereProc
Developer(s) CereProc Ltd.  UK
Initial release 2006 (2006)
Written in C/Python
Operating system Cross-platform
Available in English / German / French / Spanish / Italian / Dutch / Catalan / Romanian / Japanese / Portuguese / Scottish Gaelic
Type Text-To-Speech
License Commercial
Website www.cereproc.com

CereProc is a speech synthesis company based in Edinburgh, Scotland, founded in 2005. The company specialises in creating natural and expressive-sounding text to speech voices, synthesis voices with regional accents, and in voice cloning.

Voice building technology

CereProc creates voices using two different voice-building technologies: unit selection synthesis and parametric modelling.

CereProc's unit selection voices are built from large databases of recorded speech. During database creation, each recorded utterance is segmented into some or all of the following: individual phones, syllables, morphemes, words, phrases, and sentences. The division into segments is done using a specially modified speech recognizer.[1] An index of the units in the speech database is then created based on the segmentation and acoustic parameters like the fundamental frequency (pitch), duration, position in the syllable, and neighbouring phones. At runtime, the desired target utterance is created by determining the best chain of candidate units from the database (unit selection). Unit selection provides the greatest naturalness, because it applies digital signal processing (DSP) to the recorded speech only at concatenation points. DSP often makes recorded speech sound less natural.

CereProc's parametric voices produce speech synthesis based on statistical modelling methodologies. In this system, the frequency spectrum (vocal tract), fundamental frequency (vocal source), and duration (prosody) of speech are modelled simultaneously. Speech waveforms are generated from these parameters using a vocoder. Critically, these voices can be built from significantly less recorded speech than unit selection voices and have a much smaller footprint when installed, because of this they are used for private voice cloning.[2]

Voices and languages

CereProc has thirty six generally available voices that speak ten languages in a number of different regional accents:

In addition, the company has developed a number of celebrity voices that are not generally available to the public. These include George W. Bush, Barack Obama and Arnold Schwarzenegger.[3]

Voice cloning

In 2009, film critic Roger Ebert employed CereProc to create a synthetic version of his voice. Ebert had lost the power of speech following surgery to treat thyroid cancer. 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. Gleason appeared in Microsoft's Super Bowl XLVIII commercial praising the power of technology, using his synthetic voice to narrate.

CereProc voice cloning technology is currently being used in the UK by MND sufferers, to create synthesis voices before they lose the power of speech. This process was featured in a BBC Radio 4 documentary, Giving the Critic Back His Voice, broadcast in August 2011.[5]

System compatibility

CereProc voices can be deployed on different operating systems and on different types of devices. CereProc desktop voices are compatible with Microsoft Windows and Apple Mac OS X. They install as system voices and are able to be used by other speech-enabled applications. CereProc's client/server system cServer, aimed principally at the corporate IVR market, can be run on Windows and Linux. CereProc Mobile voices can be deployed on Android and Apple iOS.

See also

References

External links

This article is issued from Wikipedia - version of the 10/17/2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.