The Rules Behind Roles: Identifying Speaker Role in Radio Broadcasts
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Improving name tagging by reference resolution and relation detection
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Initial study on automatic identification of speaker role in broadcast news speech
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Identification of Soundbite and Its Speaker Name Using Transcripts of Broadcast News Speech
ACM Transactions on Asian Language Information Processing (TALIP)
| Hi-index | 0.00 |
Speaker name recognition plays an important role in many spoken language applications, such as rich transcription, information extraction, question answering, and opinion mining. In this paper, we developed an SVM-based classification framework to determine the speaker names for those included speech segments in broadcast news speech, called soundbites. We evaluated a variety of features with different feature selection strategies. Experiments on Mandarin broadcast news speech show that using our proposed approach, the soundbite speaker name recognition (SSNR) accuracy is 68.9% on our blind test set, an absolute 10% improvement compared to a baseline system, which chooses the person name closest to the soundbite.