Soundskrit
Habib M. Roudsari started their work experience in 2015 as a Teacher Assistant at Dalhousie University. In 2016, they worked as a Mitacs Accelerate Intern at Innovasea, where they focused on underwater acoustic channel characterization for ultrasonic communication applications. In 2017, they transitioned to the role of Hardware Designer at Innovasea, where they worked until 2018. From 2018 to 2020, Habib worked as a DSP Firmware Developer at onsemi. Habib then joined SUBPAC in 2020 as an Embedded DSP Engineer and worked there until 2022. In 2022, they became a Senior DSP Engineer at NETINT Technologies Inc. and held the position until 2023. Currently, Habib is working as a Senior DSP Engineer at Soundskrit starting from February 2023.
Habib M. Roudsari obtained a Master's Degree in Electrical Engineering from Dalhousie University from 2014 to 2016. Prior to that, they completed their Bachelor's Degree in Electrical Engineering at Shahid Beheshti University from 2009 to 2013. In addition to their formal education, they also obtained a certification in "Neural Networks and Deep Learning" from Coursera in October 2019.
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Soundskrit
Soundskrit is fundamentally changing the way sound is measured to bring the next generation of audio applications. The many emerging voice applications and interfaces have driven a need to capture sound from farther distances while remaining robust to noise. Because traditional pressure based microphones pick up sound coming from every direction,arrays of multiple microphones are needed to listen to a specific direction and ignore surrounding noise. This comes at a cost of increased size and decreased audio quality.Our bio-inspired, directional microphone directly measures the velocity of incoming sound rather than pressure. With a single microphone, we can separate sounds coming from multiple directions without compromising on size or quality. Soundskrit will greatly improve speech recognition and sound localization, enabling a new suite of features to consumer electronics.