تقرير
PERSONA: An Application for Emotion Recognition, Gender Recognition and Age Estimation
| العنوان: | PERSONA: An Application for Emotion Recognition, Gender Recognition and Age Estimation |
|---|---|
| المؤلفون: | Koshal, Devyani, Phukan, Orchid Chetia, Jain, Sarthak, Buduru, Arun Balaji, Sharma, Rajesh |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Sound |
| الوصف: | Emotion Recognition (ER), Gender Recognition (GR), and Age Estimation (AE) constitute paralinguistic tasks that rely not on the spoken content but primarily on speech characteristics such as pitch and tone. While previous research has made significant strides in developing models for each task individually, there has been comparatively less emphasis on concurrently learning these tasks, despite their inherent interconnectedness. As such in this demonstration, we present PERSONA, an application for predicting ER, GR, and AE with a single model in the backend. One notable point is we show that representations from speaker recognition pre-trained model (PTM) is better suited for such a multi-task learning format than the state-of-the-art (SOTA) self-supervised (SSL) PTM by carrying out a comparative study. Our methodology obviates the need for deploying separate models for each task and can potentially conserve resources and time during the training and deployment phases. Comment: Accepted to INTERSPEECH 2024 Show & Tell Demonstrations |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2406.06781 |
| رقم الأكسشن: | edsarx.2406.06781 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |