The objective of the “Spoken Web Search” (SWS) task at MediaEval 2012 consists of searching for audio content within audio content using an audio content query. In this presentation, we introduce both the SWS task and the SWS system developed by the INESC-ID’s Spoken Language Systems Laboratory (L2F) for the Mediaeval 2012 campaign. The proposed system is composed by the fusion of four individual phonetic-based SWS sub-systems. Each sub-system exploits different language-dependent phonetic networks. The main characteristic of the sub-systems is that they exploit hybrid ANN/HMM connectionist methods for both query tokenization and search. In spite of the simplicity of the approach, very promising results were obtained ranking among the best systems of the competition.