Assigning SSML tags to an audio corpus

Number of patents in Portfolio can not be more than 2000

United States of America

PATENT NO 12198676
APP PUB NO 20230317057A1
SERIAL NO

17710733

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Abstract

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This disclosure describes a system that converts an audio object (e.g., an audio book, a podcast, a videoconference meeting) to text with SSML tags so that any future text-to-speech conversion enables speech synthesis to sound more human-like. The system analyzes the audio object to identify speech output characteristics for different tokens. Variations in speech output characteristics can distinguish between an utterance spoken by one character and an utterance spoken by another character. The system assigns the tokens to the characters and compares a speech output characteristic for a token to a baseline speech output characteristic associated with an identified character. Next, the system determines an amount of deviation between the speech output characteristic for the token and the baseline speech output characteristic. The system uses this deviation to determine a relative speech output characteristic value, which is to be included in an SSML tag for a token.

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Patent Owner(s)

Patent OwnerAddress
MICROSOFT TECHNOLOGY LICENSING LLCONE MICROSOFT WAY REDMOND WA 98052

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Mirzoyan, Mikayel San Francisco, US 2 4
Vishwanath, Vidush Santa Clara, US 5 10

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