NalyticsNatural Speech and Text Analytics
- Ander González-Docasal
- Naiara Pérez
- Aitor Álvarez
- Manex Serras
- Laura García Sardiñas
- Haritz Arzelus
- Aitor García Pablos
- Montserrat Cuadros Oller
- Paz Delgado
- Ane Lazpiur
- Blanca Romero
ISSN: 1135-5948
Datum der Publikation: 2020
Nummer: 65
Seiten: 119-122
Art: Artikel
Andere Publikationen in: Procesamiento del lenguaje natural
Zusammenfassung
Call centres have long demanded technology for analysing the data they manage. In this context, we present Nalytics, a platform that integrates Speech and Text Analytics in Spanish in a modular design, and capable of customising its models to the users' demands.
Bibliographische Referenzen
- Amodei, D., S. Ananthanarayanan, R. Anubhai, et al. 2016. Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. In Proceedings of ICML 2016, volume 48, pages 173–182.
- Bernath, C., A. Alvarez, H. Arzelus, and C. D. Martínez. 2018. Exploring E2E speech recognition systems for new languages. In Proceedings of IberSPEECH 2018, pages 102–106.
- del Pozo, A., C. Aliprandi, A. Alvarez, et al. 2014. Savas: Collecting, annotating and sharing audiovisual language resources for automatic subtitling. In Proceedings of LREC 2014, pages 432–436.
- Heafield, K. 2011. Kenlm: Faster and smaller language model queries. In Proceedings of WMT 2011, pages 187–197.
- Koehn, P., H. Hoang, A. Birch, et al. 2007. Moses: Open source toolkit for statistical machine translation. In Proceedings of the 45th annual meeting of the ACL, pages 177–180.
- Povey, D., A. Ghoshal, G. Boulianne, et al. 2011. The Kaldi Speech Recognition
- Toolkit. In Proceedings of ASRU 2011. Tilk, O. and T. Alum¨ae. 2016. Bidirectional Recurrent Neural Network with Attention Mechanism for Punctuation Restoration. In Proceedings of INTERSPEECH 2016.