تقرير
NISP: A Multi-lingual Multi-accent Dataset for Speaker Profiling
| العنوان: | NISP: A Multi-lingual Multi-accent Dataset for Speaker Profiling |
|---|---|
| المؤلفون: | Kalluri, Shareef Babu, Vijayasenan, Deepu, Ganapathy, Sriram, M, Ragesh Rajan, Krishnan, Prashant |
| سنة النشر: | 2020 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Machine Learning |
| الوصف: | Many commercial and forensic applications of speech demand the extraction of information about the speaker characteristics, which falls into the broad category of speaker profiling. The speaker characteristics needed for profiling include physical traits of the speaker like height, age, and gender of the speaker along with the native language of the speaker. Many of the datasets available have only partial information for speaker profiling. In this paper, we attempt to overcome this limitation by developing a new dataset which has speech data from five different Indian languages along with English. The metadata information for speaker profiling applications like linguistic information, regional information, and physical characteristics of a speaker are also collected. We call this dataset as NITK-IISc Multilingual Multi-accent Speaker Profiling (NISP) dataset. The description of the dataset, potential applications, and baseline results for speaker profiling on this dataset are provided in this paper. Comment: 5pages, Initial version submitted to Interspeech2020 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2007.06021 |
| رقم الأكسشن: | edsarx.2007.06021 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |