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    Multilingual Voices aims to preserve a brand’s vocal identity across languages

    The announcement describes a partnership with Baklavastory to show how a business’s character and warmth can stay consistent, regardless of who calls or which language they speak.

    Albert GuAG
    Karan GoelKG
    Rohan PaulRP
    4 Sources, ,

    TLDR

    A post introducing Multilingual Voices says businesses can pick a voice and keep one brand identity across the markets they serve. It argues that preserving vocal identity is harder than translating speech because languages differ in rhythm, tone and emphasis. The announcement describes a partnership with Baklavastory to demonstrate the concept.

    Combined views

    3.7M

    4 Sources, first seen 20d ago

    Combined views

    3.7M

    4 Sources, first seen 20d ago

    1.3K likes
    20d ago
    first seen 20d ago
    1.3K likes
    180 comments
    845 saves
    293 reposts
    180 comments
    845 saves
    293 reposts

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    4 Sources

    Karan Goel@krandiashIntroducing Multilingual Voices We partnered with Baklavastory, our neighbor in the Mission, to show what it sounds like when a business's character and warmth stay consistent, no matter who calls or what language they speak. It's easy to translate speech, but much harder to preserve a single identity across languages. Every language has different rhythms, tones, and emphasis. When you change the language, identity tends to get lost in that shift, and your voice ends up sounding like someone else. With Multilingual Voices, pick a voice and keep one brand identity in every market you serve: http://cartesia.ai/voices20d
    Albert Gu@_albertguchat with your model with a single identity across languages and accents!20d
    Rohan Paul@rohanpaul_ai@krandiash The Hindi part is just so absolutely natural. I like this approach to streaming ASR: let the model learn when to speak instead of choosing one global delay for the whole system. Congrats on the release, guys.20d

    4 Sources

    Karan Goel@krandiashIntroducing Multilingual Voices We partnered with Baklavastory, our neighbor in the Mission, to show what it sounds like when a business's character and warmth stay consistent, no matter who calls or what language they speak. It's easy to translate speech, but much harder to preserve a single identity across languages. Every language has different rhythms, tones, and emphasis. When you change the language, identity tends to get lost in that shift, and your voice ends up sounding like someone else. With Multilingual Voices, pick a voice and keep one brand identity in every market you serve: http://cartesia.ai/voices20d
    Albert Gu@_albertguchat with your model with a single identity across languages and accents!20d
    Rohan Paul@rohanpaul_ai@krandiash The Hindi part is just so absolutely natural. I like this approach to streaming ASR: let the model learn when to speak instead of choosing one global delay for the whole system. Congrats on the release, guys.20d