An Introduction to text-to-speech synthesis
A tutorial about HMM-based speech synthesis was published on Proceedings of the IEEE:
A Short Introduction to Text-to-Speech Synthesis
Naturalness describes how closely the output sounds like human speech, while intelligibility is the ease with which the output is understood. The ideal speech synthesizer is both natural and intelligible. Acapela Text To Speech maximizes both characteristics.
With expressive voices, Acapela aims to add a subtle layer of intelligence, to
significantly enrich the audio dimension with more meaning and intent, providing much more
than just a simple vocalization of texts.
The allows developers to build and deploy Text-to-Speech applications. The Microsoft Speech Platform consists of a Runtime, and Runtime Languages (engines for speech recognition and text-to-speech). There are separate Runtime Languages for speech recognition and speech synthesis. The version of the Runtime Languages must match the version of the Speech Platform that you installed.
Home - HMM/DNN-based speech synthesis system (HTS)
The LumenVox TTS Server provides Text-to-Speech synthesis, turning written text into spoken speech. This technology allows any computer or IVR application to convey information to a user providing an accurate and affordable means of speech enabling your telephony platform or software application.
The Microsoft Speech Platform currently provides support for 26 languages for speech synthesis. XML tags can be used both for SAPI 5 and the Speech Platform.
frequently asked questions - Voice synthesis - Text to Speech
Over the years, many LumenVox customers have asked for a Text-to-Speech (TTS) Engine of comparable quality to our ASR products. LumenVox Text-to-Speech technology is available offering the most realistic, natural sounding speech on the market.
Text To Speech (TTS/Speech synthesis) is the artificial production of human speech. The computer system used to achieve this is called a speech engine.
TRY OUR TEXT-TO-SPEECH TECHNOLOGY - …
Festvox: An Online Speech Synthesizer - Technology, …
The most important qualities of a speech synthesis system are naturalness and intelligibility + expressiveness.
An Introduction to text-to-speech synthesis - TCTS Lab
Free software tools for building HMM-based speech synthesis system. Nagoya Institute of Technology.
TALP :: Language and Speech Technologies and …
This is a high-quality unlimited text-to-speech (TTS) voice app that runs in your browser using TTS API technology
How speech synthesis works - Explain that Stuff
At Cepstral, Text-to-Speech is our only focus. We make realistic synthetic voices that say anything, anywhere, with personality and style. From the smallest device to large installations and high-end interactive media, Cepstral voices can bring fresh content to your ears, on demand.
History of speech synthesis, 1770 - 1970
Acapela Text To Speech (TTS/Speech synthesis) transforms any text into speech in real time. It literally reads out loud any written information with a smooth and natural sounding voice. The automatic intonation reflects the meaning of the text, with respect to pauses, breath groups, punctuation and context.
A speech synthesis system of quite a different kind was the ..
However, in more recent years the significance of speech has been increasingly recognized, partly through the development of technology such as the telephone, television and radio....
speech recognition and synthesis overview ..
The naturalness of speech synthesis lends itself perfectly to the production of audio books,simplifying the process of turning a printed version into a digital one, in many languages, with a choice of genders and voice persona.
What is the need for speech technology
The prize for developing a successful speech recognition technology isenormous. Speech is the quickest and most efficient way for humans tocommunicate. Speech recognition has the potential of replacing writing,typing, keyboard entry, and the electronic control provided by switches andknobs. It just needs to work a little better to become accepted by thecommercial marketplace. Progress in speech recognition will likely come fromthe areas of artificial intelligence and neural networks as much as through DSPitself. Don't think of this as a technical ; think of it as a technical .
to describe how to build speech synthesis and ..
Speech synthesis enriches language learning tools with an immediate vocal support of the requested text or words to help students with pronunciation. The learning program is boosted by the speech dimension, providing users with constant, interactive vocal support, whether in a learning, travel or work situation.
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