Belinda Zeng, PhD

Seattle, Washington, United States Contact Info
10K followers 500+ connections

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About

I am a builder and problem solver at heart and enjoy bringing science and technology to…

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Experience & Education

  • Amazon

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Publications

  • CAM: Uninteresting Speech Detecto

    Interspeech 2020

    Voice assistants such as Siri, Alexa, etc. usually adopt a pipeline to process users’ utterances, which generally include transcribing the audio into text, understanding the text, and finally responding back to users. One potential issue is that some utterances could be devoid of any interesting speech, and are thus not worth being processed through the entire pipeline. Examples of uninteresting utterances include those that have too much noise, are devoid of intelligible speech, etc. It is…

    Voice assistants such as Siri, Alexa, etc. usually adopt a pipeline to process users’ utterances, which generally include transcribing the audio into text, understanding the text, and finally responding back to users. One potential issue is that some utterances could be devoid of any interesting speech, and are thus not worth being processed through the entire pipeline. Examples of uninteresting utterances include those that have too much noise, are devoid of intelligible speech, etc. It is therefore desirable to have a model to filter out such useless utterances before they are ingested for downstream processing, thus saving system resources. Towards this end, we propose the Combination of Audio and Metadata (CAM) detector to identify utterances that contain only uninteresting speech. Our experimental results show that the CAM detector considerably outperforms using either an audio model or a metadata model alone, which demonstrates the effectiveness of the proposed system.

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Patents

  • METHODS AND APPARATUS TO IDENTIFY RETAIL PRICING STRATEGIES

    US #20180174173

  • METHODS, SYSTEMS AND APPARATUS TO DETERMINE CHOICE PROBABILITY OF NEW PRODUCTS

    US #20170161757

Honors & Awards

  • Nielsen North America Leadership Forum

    -

    A 3-day program designed for and opened to only select few emerging leaders with high potentials

Languages

  • English

    Full professional proficiency

  • Mandarin

    Native or bilingual proficiency

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