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112
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PRL
2008
181views more  PRL 2008»
14 years 11 months ago
Extractive spoken document summarization for information retrieval
The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summa...
Berlin Chen, Yi-Ting Chen
116
Voted
ICASSP
2011
IEEE
14 years 3 months ago
Automatic audio tag classification via semi-supervised canonical density estimation
We propose a novel semi-supervised method for building a statistical model that represents the relationship between sounds and text labels (“tags”). The proposed method, named...
Jun Takagi, Yasunori Ohishi, Akisato Kimura, Masas...
ACL
2010
14 years 9 months ago
A Hybrid Hierarchical Model for Multi-Document Summarization
Scoring sentences in documents given abstract summaries created by humans is important in extractive multi-document summarization. In this paper, we formulate extractive summariza...
Asli Çelikyilmaz, Dilek Hakkani-Tur
BIOID
2008
135views Biometrics» more  BIOID 2008»
15 years 1 months ago
Multimodal Speaker Identification Based on Text and Speech
Abstract. This paper proposes a novel method for speaker identification based on both speech utterances and their transcribed text. The transcribed text of each speaker's utte...
Panagiotis Moschonas, Constantine Kotropoulos
ICASSP
2011
IEEE
14 years 3 months ago
Concept-based classification for multi-document summarization
Documents often contain inherently many concepts reflecting specific and generic aspects. To automatically generate a short summary text of documents on similar topics, it is im...
Asli Çelikyilmaz, Dilek Hakkani-Tür