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Espeech solves the Hassle of managing your text to speech synthesis from multiple providers like Microsoft Cognitive service,Google cloud Platform ,Amazon Polly and IBM Watson. We provide the platform where you can systhesise the text from all the given providers.
espeech neural text-to-speech uses deep standard and neural networks to make the voices of computers nearly indistinguishable from recordings of people. With the human-like natural prosody and clear articulation of words, neural text-to-speech has significantly reduced listening fatigue when you interact with AI systems.
The patterns of stress and intonation in spoken language are called prosody. Traditional text-to-speech systems break down prosody into separate linguistic analysis and acoustic prediction steps that are governed by independent models. That can result in muffled, buzzy voice synthesis. Microsoft neural text-to-speech capability does prosody prediction and voice synthesis simultaneously, uses deep neural networks to overcome the limits of traditional text-to-speech systems in matching the patterns of stress and intonation in spoken language, and synthesizes the units of speech into a computer voice. The result is a more fluid and natural-sounding voice.
In this overview, you learn about the benefits and capabilities of the text-to-speech service, which enables your applications, tools, or devices to convert text into human-like synthesized speech. Use human-like neural voices, or create a custom voice unique to your product or brand. For a full list of supported voices, languages, and locales, see supported languages.