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IVR - Acapela Adds 10 More Brand Voices to its Voice Portfolio
June 16, 2011

Acapela Adds 10 More Brand Voices to its Voice Portfolio

By Mini Swamy, TMCnet Contributor

Constantly seeking to optimize natural speaking tones, Acapela, an expert in inventing text to speech solutions, has boosted its portfolio by adding 10 brand new voices that have increased Acapela's multilingual capacity.

“The ten new members in Acapela portfolio are fully part of the Acapela will to constantly deploy close to people voices, through a rich repertoire.' commented Lars-Erik Larsson, CEO of Acapela Group (News - Alert), in a press release.

Acapela voice solutions already speak 30 languages with over 60 voices that not only enrich the vocal expert offer but also provides increasing satisfaction to end users and companies. A detailed list of the new brand voices is available on the Acapela website.

With the brand new Japanese voice and a new Chinese one added tp the original set, Acapela has widened its Asian linguistic coverage. It will now be able to reach more new markets with its enriched portfolio.

When Acapela selects voices, it always has the end user in mind. Its aim has always been to choose a voice that companies and end users will be comfortable with during interaction. In addition, the voices are so chosen that they suit the specific service or application of a particular company.

Voice syntheses have to convey naturalness, intelligence, accent, correct intonation and officials at the Acapela voice factory say that they have a wide range of voices that can cater to the requirements of variety. Of course, this is in addition to the standard portfolio, which addresses standard needs at a very affordable price.

Acapela's deep expertise of voice, language and factory processes enables it to reproduce any human voice, along with the accent and dialect.

On April 28, 2011, Acapela enriched its voice catalog with the Queen's voice. The Linguistic expert team from Acapela has registered a Queen's Elizabeth voice impersonator resulting in the recording of sound files which have been cut and organized in a sound data base in which the speech engine selects units to properly vocalize the phonetic transcription of the written text.

Mini Swamy is a contributing editor for TMCnet. To read more of her articles, please visit her columnist page.

Edited by Juliana Kenny

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