The Spoken Web Search task at MediaEval 2011

• On the evaluation utterances: identify which query (from the set of development queries) occurs in each utterance (0-n matches per term, i.e. not every term

Participants receive audio data as well as development and evaluation (audio) queries, described in more detail below. Only the occurrence of development queries in

The temporal model is based on long temporal context approach [1] trained on Mediaeval 2012 data.. We process each of the MFCC39 dimensions

Although the results on the evaluation queries are poor, the encouraging results obtained on the development data show that the i- vectors are an interesting and original

The proposed approach is based on a concept of modelling the speech query as a concatenation of language-independent quasi- phoneme models, which are derived by unsupervised

• On the evaluation utterances: identify which query (from the set of development queries) occurs in each utterance (0-n matches per term, i.e. not every term

Each match candidate is compared to the query thanks to the CDTW algorithm, resulting in a matching score S(X, Y j start :j end ).. We observed that using the same decision function

The GTTS system apply state-of-the-art phone decoders to search for approxi- mate matchings of the N -best decodings of a spoken query in the phone lattice of the target