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Speech retrieval from unsegmented finnish audio using ...

    https://www.deepdyve.com/lp/association-for-computing-machinery/speech-retrieval-from-unsegmented-finnish-audio-using-statistical-w1Iob6FdAn
    Speech Retrieval from Unsegmented Finnish Audio Using Statistical Morpheme-Like Units for Segmentation, Recognition, and Retrieval VILLE T. TURUNEN and MIKKO KURIMO, Aalto University School of Science This article examines the use of statistically discovered morpheme-like units for Spoken Document Retrieval (SDR).

(PDF) To recover from speech recognition errors in …

    https://www.researchgate.net/publication/221490012_To_recover_from_speech_recognition_errors_in_spoken_document_retrieval
    Speech retrieval from unsegmented finnish audio using statistical morpheme-like units for segmentation, recognition, and retrieval ... The resulting …

Morph-based speech retrieval: Indexing methods and ...

    https://aaltodoc.aalto.fi/handle/123456789/4430
    In Finnish speech retrieval experiments, the morph-based approach is compared to using word-based language models in ASR, and to using base forms in retrieval. Also, morphs are compared for story segmentation of speech. The results show that morph-based language models clearly outperform word-based models in retrieval performance.

[PDF] Statistical Language Modeling for Automatic …

    https://www.semanticscholar.org/paper/Statistical-Language-Modeling-for-Automatic-Speech-Kurimo-Sara%C3%A7lar/96b9ddaaa59970afe80a58b2d79c6697b507b32f
    Speech analytics Substring Performance Approximation algorithm Neural coding Protologism Acoustic cryptanalysis Markov chain Formal language Speech retrieval from unsegmented finnish audio using statistical morpheme-like units for segmentation, recognition, and retrieval Ville T. Turunen, M. Kurimo Computer Science TSLP 2008 TLDR

Information Retrieval from Unsegmented Broadcast News Audio

    https://link.springer.com/article/10.1023/A:1011312708732
    A sophisticated large vocabulary speech recogniser which produces high-quality transcriptions of the audio and a window-based retrieval system with post-retrieval merging are also described. Results are presented using the 1999 TREC-8 Spoken Document Retrieval data for the task where no story boundaries are known.

ACM Transactions on Speech and Language Processing (TSLP)

    http://ftp.math.utah.edu/pub/tex/bib/toc/tslp.html
    Ville T. Turunen and Mikko Kurimo Speech retrieval from unsegmented Finnish audio using statistical morpheme-like units for segmentation, recognition, and retrieval . . . . . . . 1:1--1:?? ACM Transactions on Speech and Language Processing (TSLP) Volume 8, …

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