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1
Defending Your Voice: Adversarial Attack on Voice Conversion ...
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2
FragmentVC: Any-to-Any Voice Conversion by End-to-End Extracting and Fusing Fine-Grained Voice Fragments With Attention ...
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3
Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation Learning ...
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4
From Semi-supervised to Almost-unsupervised Speech Recognition with Very-low Resource by Jointly Learning Phonetic Structures from Audio and Text Embeddings ...
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5
Improved Speech Separation with Time-and-Frequency Cross-domain Joint Embedding and Clustering ...
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6
Multi-target Voice Conversion without Parallel Data by Adversarially Learning Disentangled Audio Representations ...
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7
Almost-unsupervised Speech Recognition with Close-to-zero Resource Based on Phonetic Structures Learned from Very Small Unpaired Speech and Text Data ...
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8
Segmental Audio Word2Vec: Representing Utterances as Sequences of Vectors with Applications in Spoken Term Detection ...
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9
Phonetic-and-Semantic Embedding of Spoken Words with Applications in Spoken Content Retrieval ...
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10
Rhythm-Flexible Voice Conversion without Parallel Data Using Cycle-GAN over Phoneme Posteriorgram Sequences ...
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11
Improved Audio Embeddings by Adjacency-Based Clustering with Applications in Spoken Term Detection ...
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12
An Iterative Deep Learning Framework for Unsupervised Discovery of Speech Features and Linguistic Units with Applications on Spoken Term Detection ...
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13
Audio Word2Vec: Unsupervised Learning of Audio Segment Representations using Sequence-to-sequence Autoencoder ...
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14
A Multi-layered Acoustic Tokenizing Deep Neural Network (MAT-DNN) for Unsupervised Discovery of Linguistic Units and Generation of High Quality Features ...
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15
Unsupervised Discovery of Linguistic Structure Including Two-level Acoustic Patterns Using Three Cascaded Stages of Iterative Optimization ...
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16
Interactive spoken document retrieval with suggested key terms ranked by a Markov decision process
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 20 (2012) 2, 632-645
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OLC Linguistik
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17
Modulation spectrum equalization for improved robust speech recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 20 (2012) 3, 828-843
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OLC Linguistik
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18
Semantic analysis and organization of spoken documents based on parameters derived from latent topics
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 19 (2011) 7, 1875-1889
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OLC Linguistik
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19
Performance analysis for lattice-based speech indexing approaches using words and subword units
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 18 (2010) 6, 1562-1574
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20
Improved features and models for detecting edit disfluencies in transcribing spontaneous Mandarin speech
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 17 (2009) 7, 1263-1278
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OLC Linguistik
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