Statistical methods for speech recognition
Statistical methods for speech recognition
Language-independent and language-adaptive acoustic modeling for speech recognition
Speech Communication
Transliteration of proper names in cross-lingual information retrieval
MultiNER '03 Proceedings of the ACL 2003 workshop on Multilingual and mixed-language named entity recognition - Volume 15
General indexation of weighted automata: application to spoken utterance retrieval
SpeechIR '04 Proceedings of the Workshop on Interdisciplinary Approaches to Speech Indexing and Retrieval at HLT-NAACL 2004
OpenFst: a general and efficient weighted finite-state transducer library
CIAA'07 Proceedings of the 12th international conference on Implementation and application of automata
Joint training of non-negative Tucker decomposition and discrete density hidden Markov models
Computer Speech and Language
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Most cross-lingual speech retrieval assumes intensive knowledge about all involved languages. However, such resource may not exist for some less popular languages. Some applications call for speech retrieval in unknown languages. In this work, we leverage on a quasi-language-independent subword recognizer trained on multiple languages, to obtain an abstracted representation of speech data in an unknown language. Language-independent query expansion is achieved either by allowing a wide lattice output for an audio query, or by taking advantage of distinctive features in speech articulation to propose subwords most similar to the given subwords in a query. We propose using a retrieval model based on finite state machines for fuzzy matching of speech sound patterns, and further for speech retrieval. A pilot study of speech retrieval in unknown languages is presented, using English, Spanish and Russian as training languages, and Croatian as the unknown target language.