Buenos Aires, Argentina

Pablo Brusco


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Pablo Brusco: Innovator in Speech Sentiment Analysis

Introduction

Pablo Brusco is a notable inventor based in Buenos Aires, Argentina. He has made significant contributions to the field of speech sentiment analysis, particularly through his innovative patent. His work focuses on developing systems that enhance the understanding of sentiment in audio speech, which has important applications in various industries.

Latest Patents

Pablo Brusco holds a patent titled "Speech sentiment analysis using a speech sentiment classifier pretrained with pseudo sentiment labels." This patent describes a system, method, and computer program designed to predict sentiment labels for audio speech utterances. The speech sentiment classifier is pretrained in an unsupervised manner, utilizing a pseudo labeler that has been trained to predict sentiments for text. This innovative approach allows for the autogeneration of pseudo sentiment labels for audio speech utterances, significantly improving the accuracy of sentiment analysis.

Career Highlights

Pablo Brusco is currently employed at Asapp, Inc., where he continues to develop cutting-edge technologies in the realm of speech analysis. His work at Asapp, Inc. has positioned him as a key player in the advancement of artificial intelligence applications related to audio processing and sentiment detection.

Collaborations

Pablo collaborates with talented individuals such as Suwon Shon and Jing Pan. Their combined expertise contributes to the innovative projects at Asapp, Inc., fostering a collaborative environment that drives technological advancements.

Conclusion

Pablo Brusco's contributions to speech sentiment analysis exemplify the impact of innovative thinking in technology. His patent and ongoing work at Asapp, Inc. highlight the importance of understanding sentiment in audio speech, paving the way for future advancements in this field.

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