Fernando Batista, Pedro Curto, Isabel Trancoso, Alberto Abad, Jaime Ferreira, Eugénio Ribeiro, Helena Moniz, David Martins de Matos and Ricardo Ribeiro
In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)), 23-28 May 2016, Portorož, Slovenia
This paper presents SPA, a web-based Speech Analytics platform that integrates several speech processing modules and that makes it possible to use them through the web. It was developed with the aim of facilitating the usage of the modules, without the need to know about software dependencies and specific configurations. Apart from being accessed by a web-browser, the platform also provides a REST API for easy integration with other applications. The platform is flexible, scalable, provides authentication for access restrictions, and was developed taking into consideration the time and effort of providing new services. The platform is still being improved, but it already integrates a considerable number of audio and text processing modules, including: Automatic transcription, speech disfluency classification, emotion detection, dialog act recognition, age and gender classification, non-nativeness detection, hyper-articulation detection, dialog act recognition, and two external modules for feature extraction and DTMF detection. This paper describes the SPA architecture, presents the already integrated modules, and provides a detailed description for the ones most recently integrated.