Voicery provided a fast, flexible speech synthesis engine using deep learning to create natural-sounding, human-like voices for applications like audiobooks, voice-overs, and more.
Traditional speech synthesis often produces robotic-sounding voices lacking natural intonation, inflection, and emotional expressiveness, limiting its use in high-quality applications like audiobooks, voice-overs, and branded content.
Traditional speech synthesis often produces robotic-sounding voices lacking natural intonation, inflection, and emotional expressiveness, limiting its use in high-quality applications like audiobooks, voice-overs, and branded content.
Voicery used deep neural networks trained on hundreds of voices to generate fast, flexible, human-like synthetic speech with customizable pronunciation, accents, and emotions.
Voicery used deep neural networks trained on hundreds of voices to generate fast, flexible, human-like synthetic speech with customizable pronunciation, accents, and emotions.
Voicery shut down in October 2020.
Event Year: 2020
Voicery shut down in October 2020.
Event Year: 2020
Voicery developed advanced text-to-speech technology focused on generating highly realistic, emotive synthetic voices. Leveraging deep neural networks, the platform aimed to produce speech that closely mimicked human intonation, pronunciation, and inflection, moving beyond traditional robotic-sounding synthesis.
The system trained on hundreds of voices simultaneously, incorporating varying amounts of speech data from multiple sources. This approach enabled the engine to learn diverse accents, pronunciations, and emotional nuances, resulting in output described as nearly indistinguishable from human speech in some demonstrations. Unlike conventional methods requiring extensive recordings from a single speaker, Voicery's method allowed for rapid voice creation—reportedly building the initial engine in just two-and-a-half months.
Voicery emphasized flexibility and speed in speech generation. Users could deploy the voices in real-time applications or batch processing for content like podcasts and video game characters. The platform supported customization, including adjustments for speaking rate, pitch, and emphasis, making it suitable for branded audio experiences. Integration options included APIs for mobile apps, web platforms, and IoT devices, facilitating dynamic voice features without relying on human voice actors.
Voicery developed advanced text-to-speech technology focused on generating highly realistic, emotive synthetic voices. Leveraging deep neural networks, the platform aimed to produce speech that closely mimicked human intonation, pronunciation, and inflection, moving beyond traditional robotic-sounding synthesis.
The system trained on hundreds of voices simultaneously, incorporating varying amounts of speech data from multiple sources. This approach enabled the engine to learn diverse accents, pronunciations, and emotional nuances, resulting in output described as nearly indistinguishable from human speech in some demonstrations. Unlike conventional methods requiring extensive recordings from a single speaker, Voicery's method allowed for rapid voice creation—reportedly building the initial engine in just two-and-a-half months.
Voicery emphasized flexibility and speed in speech generation. Users could deploy the voices in real-time applications or batch processing for content like podcasts and video game characters. The platform supported customization, including adjustments for speaking rate, pitch, and emphasis, making it suitable for branded audio experiences. Integration options included APIs for mobile apps, web platforms, and IoT devices, facilitating dynamic voice features without relying on human voice actors.
Upfront fee for custom voice development plus per-usage charges.
Upfront fee for custom voice development plus per-usage charges.
Enterprises, developers, content creators seeking natural AI voices for apps, games, and audio production.
Enterprises, developers, content creators seeking natural AI voices for apps, games, and audio production.
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Hiring: unknown
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Hiring: unknown
The technology targeted existing voice systems such as translation apps, GPS navigation, voice assistants, and screen readers. It also opened possibilities for emerging areas, including automated audiobooks, news briefings, TV dubbing, and interactive media. Enterprises could create custom brand voices, ensuring consistency across digital products like tutorials, demos, and accessibility tools.
The technology targeted existing voice systems such as translation apps, GPS navigation, voice assistants, and screen readers. It also opened possibilities for emerging areas, including automated audiobooks, news briefings, TV dubbing, and interactive media. Enterprises could create custom brand voices, ensuring consistency across digital products like tutorials, demos, and accessibility tools.
Voicery operated on a model with upfront fees for custom voice development followed by per-usage charges. Early pilots involved partnerships with companies exploring high-quality synthesis for production environments. The startup participated in Y Combinator's Winter 2018 batch, gaining initial visibility and bootstrapped funding before seeking additional investment.
Voicery operated on a model with upfront fees for custom voice development followed by per-usage charges. Early pilots involved partnerships with companies exploring high-quality synthesis for production environments. The startup participated in Y Combinator's Winter 2018 batch, gaining initial visibility and bootstrapped funding before seeking additional investment.
Founded by experts from Baidu Research and Palantir, Voicery capitalized on advancements in deep learning originally applied to speech recognition and natural language processing. The founders positioned it as a pioneer in applying these techniques to synthesis, addressing gaps in quality and speed left by established players.
Founded by experts from Baidu Research and Palantir, Voicery capitalized on advancements in deep learning originally applied to speech recognition and natural language processing. The founders positioned it as a pioneer in applying these techniques to synthesis, addressing gaps in quality and speed left by established players.
