Directed decision trees for generating complementary systems
Speech Communication
Improved automatic speech recognition through speaker normalization
Computer Speech and Language
Convolutive BSS of Short Mixtures by ICA Recursively Regularized Across Frequencies
IEEE Transactions on Audio, Speech, and Language Processing
Second ACM international workshop on multimedia in forensics, security and intelligence (MiFor 2010)
Proceedings of the international conference on Multimedia
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This paper describes and discusses the recognition results obtained using the automatic transcription system developed in our labs, after having adapted it to the judicial domain. The performance has been evaluated on field audio data, formed by about 7 hours of multiply tracks recordings, acquired in two different dates in the Court of Naples. Different sets of acoustic and language models have been used and compared in the system, providing results (word error rate is around 40%) that are in line with those obtained on other comparable Automatic Speech Recognition (ASR) tasks (e.g. meeting transcription)and that leave room for future investigations