speech processing — ethical data science — accessible technology

Harper Strickland: Scholarship

Interests

Speech Processing
- TTS, Speech Synthesis, Prosody Transfer, ASR, Corpus Development, Model Evaluation


Ethical Data Science
- Responsible and Equitable Applications of Machine Learning


Acessible Technology
- Augmentative and Alternative Communication (AAC)


Publications

AUTALIC: A Dataset for Anti-AUTistic Ableist Language In Context.

- First annotated dataset for detecting anti-autistic ableist language, with machine learning analysis.

Naba Rizvi, Harper Strickland, Daniel Gitelman, Alexis Morales Flores, Tristan Cooper, Aekta Kallepalli, Akshat Alurkar, Haaset Owens, Saleha Ahmedi, Isha Khirwadkar, Imani N. S. Munyaka, Nedjma Ousidhoum. Association for Computational Linguistics (ACL), July 2025. https://aclanthology.org/2025.acl-long.1022


'I Hadn't Thought About That': Creators of Human-like AI Weigh in on Ethics & Neurodivergence.

- Analysis of interviews with 16 developers about accessibility, neurodiversity, and ethical implications.

Naba Rizvi, Taggert Smith, Tanvi Vidyala, Mya Bolds, Harper Strickland, Andrew Begel, Rua Williams, Imani Munyaka. ACM Conference on Fairness, Accountability, and Transparency (FAccT), June 2025. https://doi.org/10.1145/3715275.3732218


Avian Language Models: Rethinking Bioacoustic Pipelines with Self-Supervised Learning.

- Ablation studies of bioacoustic model performance: encoder, Q-Former, large language model (LLM).

Hari Prakash, Harper Strickland, Xinyu Bao, Jiawei Li, Alex Lehman. MAS Capstone Project, UC San Diego, June 2025. https://doi.org/10.6075/J0NV9JM2


UCSD MAS Capstone Cohort in front of Geisel Library