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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 38 1 Fine-grained style control in Transformer-based Text-to-speech Synthesis ... Chen, Li-Wei; Rudnicky, Alexander. - : arXiv, 2021 BASE Show details 2 Zero-Shot Dialogue Disentanglement by Self-Supervised Entangled Response Selection ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Ta-Chung; Rudnicky, Alexander. - : Underline Science Inc., 2021 BASE Show details 3 Speech Representation Learning Combining Conformer CPC with Deep Cluster for the ZeroSpeech Challenge 2021 ... Maekaku, Takashi; Chang, Xuankai; Fujita, Yuya. - : arXiv, 2021 BASE Show details 4 Internationalizing Speech Technology through Language Independent Lexical Acquisition ... Damiba, Bertrand A; Rudnicky, Alexander. - : Figshare, 2018 BASE Show details 5 Internationalizing Speech Technology through Language Independent Lexical Acquisition ... Damiba, Bertrand A; Rudnicky, Alexander. - : Figshare, 2018 BASE Show details 6 Building a Vocabulary Self-Learning Speech Recognition System ... Qin, Long; Rudnicky, Alexander. - : Carnegie Mellon University, 2014 BASE Show details 7 Building a Vocabulary Self-Learning Speech Recognition System ... Qin, Long; Rudnicky, Alexander. - : Carnegie Mellon University, 2014 BASE Show details 8 Finding Recurrent Out-of-Vocabulary Words ... Qin, Long; Rudnicky, Alexander. - : Carnegie Mellon University, 2013 BASE Show details 9 Finding Recurrent Out-of-Vocabulary Words ... Qin, Long; Rudnicky, Alexander. - : Carnegie Mellon University, 2013 BASE Show details 10 Learning better lexical properties for recurrent OOV words ... Qin, Long; Rudnicky, Alexander. - : Carnegie Mellon University, 2013 BASE Show details 11 Learning better lexical properties for recurrent OOV words ... Qin, Long; Rudnicky, Alexander. - : Carnegie Mellon University, 2013 BASE Show details 12 OOV Word Detection using Hybrid Models with Mixed Types of Fragments ... Qin, Long; Rudnicky, Alexander. - : Carnegie Mellon University, 2012 BASE Show details 13 OOV Word Detection using Hybrid Models with Mixed Types of Fragments ... Qin, Long; Rudnicky, Alexander. - : Carnegie Mellon University, 2012 BASE Show details 14 Modeling Lexical Stress in Read and Spontaneous Speech ... Polifroni, Joseph H; Rudnicky, Alexander. - : Carnegie Mellon University, 2011 BASE Show details 15 Modeling Lexical Stress in Read and Spontaneous Speech ... Polifroni, Joseph H; Rudnicky, Alexander. - : Carnegie Mellon University, 2011 BASE Show details 16 The "RavenClaw" dialog management framework: architecture and systems Rudnicky, Alexander I.; Bohus, Dan In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 23 (2009) 3, 332-361 BLLDB OLC Linguistik Show details 17 The Lexical Access Component of the CMU Continuous Speech Recognition System ... Rudnicky, Alexander; Baurneister, Lynn K; DeGraaf, Kevin H. - : Carnegie Mellon University, 2008 BASE Show details 18 The Lexical Access Component of the CMU Continuous Speech Recognition System ... Rudnicky, Alexander; Baurneister, Lynn K; DeGraaf, Kevin H. - : Carnegie Mellon University, 2008 BASE Show details 19 Language-Independent Lexical Acquisition ... Damiba, Bertrand A; Rudnicky, Alexander. - : Carnegie Mellon University, 2005 Abstract: Lexicon construction is at the core of internationalizing speech systems, as it is the locus at which the correspondence between the written and spoken forms of a language is specified. For the most part, speech systems for a given language benefit from the attention of native speakers and the opportunity to tune performance over time, allowing the cost of lexicon development to be amortized over time. On the other hand rapid deployment of recognition capability for new languages stresses the need for rapid availability of a usable lexicon. We propose a decomposition of the lexicon building process, into four discrete and sequential steps that simplify and speed up the creation of language knowledge bases for recognition and synthesis. Results from four languages are discussed. ... Keyword: 89999 Information and Computing Sciences not elsewhere classified; FOS Computer and information sciences URL: https://kilthub.cmu.edu/articles/Language-Independent_Lexical_Acquisition/6606758/1 https://dx.doi.org/10.1184/r1/6606758.v1 BASE Hide details 20 Language-Independent Lexical Acquisition ... Damiba, Bertrand A; Rudnicky, Alexander. - : Carnegie Mellon University, 2005 BASE Show details Page: 1 2

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