Microsoft Technology Licensing, LLC

Sharman W Tan

Sayan Dev Pathak

Piyush Behre

Amit Kumar Agarwal

Christopher Hakan Basoglu

Zoltan Romocsa

Amy Parag Shah

Ayush Vikram

Systems generate segments of spoken language utterances based on different sets of segmentation boundaries. The systems are also configured to generate one or more formatted segments by assigning a punctuation tags at segmentation boundaries and to generate one or more final sentences from the one or more segments.

Streaming punctuation for long-form dictation

Some disclosed embodiments are directed to obtaining a decoded audio data including a spoken language utterance recognized in audio data and identifying a disfluency in the decoded audio data. Upon determining that correcting the disfluency would improve a readability score of the decoded audio data, the system generates a particular correction to correct the disfluency and applies the particular correction to the decoded audio data. Then, an updated decoded audio data is generated which reflects the particular correction. The updated decoded audio data has improved readability over the decoded audio data.

Systems and methods for GPT guided neural punctuation for conversational speech

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Fremont, CA, United States of America

Sharman W Tan