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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 Abstract: In this paper, we present a novel architecture to realize fine-grained style control on the transformer-based text-to-speech synthesis (TransformerTTS). Specifically, we model the speaking style by extracting a time sequence of local style tokens (LST) from the reference speech. The existing content encoder in TransformerTTS is then replaced by our designed cross-attention blocks for fusion and alignment between content and style. As the fusion is performed along with the skip connection, our cross-attention block provides a good inductive bias to gradually infuse the phoneme representation with a given style. Additionally, we prevent the style embedding from encoding linguistic content by randomly truncating LST during training and using wav2vec 2.0 features. Experiments show that with fine-grained style control, our system performs better in terms of naturalness, intelligibility, and style transferability. Our code and samples are publicly available. ... : Accepted in ICASSP 2022 ... Keyword: Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Machine Learning cs.LG; Sound cs.SD URL: https://dx.doi.org/10.48550/arxiv.2110.06306 https://arxiv.org/abs/2110.06306 BASE Hide 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 BASE Show 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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