Parisa Ahmadzadeh Raji
Papers
1
Total Citations
2
H-Index
1
About
Parisa Ahmadzadeh Raji is a researcher specializing in Persian speech processing and human-robot interaction, with a particular focus on wake word detection systems for robotic applications. Her most notable contribution is the creation of the Robat-e-Beheshti dataset, a Persian wake word detection corpus designed to advance voice-controlled robotics in Persian-speaking contexts. This dataset comprises 5,738 audio files in various formats, each with a maximum duration of three seconds, providing a foundational resource for classifying audio data and enabling robots to respond to Persian wake words. Although her work is still emerging, with her key paper accumulating 2 citations, it represents a significant step toward bridging the gap between natural language processing and robotics for Persian speakers. Raji’s research addresses the critical need for language-specific datasets in under-resourced languages, making her contributions valuable for developers and researchers working on voice-activated systems in the Persian language. Her efforts highlight the importance of inclusive technology design and lay the groundwork for future advancements in Persian speech recognition and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1