About our Research Group

Aspire, Develop, Create, Impact, Encourage, Lead

The ASPIRE Group strives to develop scientifically sound ideas and the next generation of impactful researchers.

The Audio, Speech and Perceptually-Inspired REsearch (ASPIRE) Group @ The Ohio State University has the long-standing goal of developing intelligent sount processing approaches that continually learn from user and environmental data in real-world environments, while also preserving user privacy. This is being accomplished by producing algorithms that analyze, extract meaningful information, and that make predictions from audio, speech and signal data. Our approaches involve advanced probabilistic, signal processing, and deep learning concepts. More specifically, our group works on projects that remove unwanted background noise from speech, analyze/estimate auditory speech assessment, and projects that develop mechanisms for ensuring audio and speech privacy for consumer electronic devices. These efforts have resulted in presentations and papers at top-tier venues. Our work has been supported by the National Science Foundation (NSF) through a Computer and Information Science and Engineering (CISE) Research Initiation Initative (CRII) award , through a CAREER award , an Indiana University Faculty Research Support Program - Seed Funding (FRSP-SF) award, and by the Toyota Research Institute.

We also strive to aspire the next generation of researchers to pursue careers in computer science, engineering and machine learning, especially for individuals from traditionally underrepresented groups. Throughout the year, our members participate in various outreach efforts that introduce young students to computer science and engineering, while also providing them with necessary skills for success.

Our Main Research Areas

We focus on projects that impact how people communicate with each other and to devices through speech.

Source Signal Separation

Data-driven, property-preserving and adaptable algorithms are developed to separate and detect different components of a signal.

Perceptual Speech Assessment

Audio and speech assessment approaches are needed that enable real-world evaluation and that model human assessment behavior.

Audio Privacy

The abundance of mobile and intrusive audio recording devices creates a need to ensure that user privacy is preserved.

Our Current Group Members

We currently have a mix of Ph.D. and Undergraduate students.

Donald S. Williamson

Director and Associate Professor

Khandokar Md. Nayem

Ph.D. Candidate

Grace (Yuying) Li

Ph.D. Candidate

Yuchen Li

Ph.D. Candidate

Junyi Fan

Ph.D. Student

Subrina Sultana

Ph.D. Student

Seyed Ali Alavi Bajestan

Ph.D. Student

Ada Lamba

Ph.D. Student

Imran Kibria

Ph.D. Student

Anurag Kumar

Ph.D. Student

K.M. Naimul Hassan

Ph.D. Student

Even (Yiwen) Gu

Undergraduate Student

Naishal Patel

Undergraduate Student