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StarGAN-ZSVC: Towards Zero-Shot Voice Conversion in Low-Resource Contexts ...
Baas, Matthew; Kamper, Herman. - : arXiv, 2021
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Acoustic word embeddings for zero-resource languages using self-supervised contrastive learning and multilingual adaptation ...
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3
Multilingual transfer of acoustic word embeddings improves when training on languages related to the target zero-resource language ...
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4
Feature learning for efficient ASR-free keyword spotting in low-resource languages ...
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5
A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion ...
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6
Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech Processing ...
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7
A phonetic model of non-native spoken word processing ...
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8
Multilingual acoustic word embedding models for processing zero-resource languages ...
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9
Improved acoustic word embeddings for zero-resource languages using multilingual transfer ...
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10
Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge ...
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11
Analyzing autoencoder-based acoustic word embeddings ...
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12
Evaluating computational models of infant phonetic learning across languages ...
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13
Multilingual and Unsupervised Subword Modeling for Zero-Resource Languages
In: http://infoscience.epfl.ch/record/277105 (2020)
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14
Participatory Research for Low-resourced Machine Translation:A Case Study in African Languages
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15
ASR-free CNN-DTW keyword spotting using multilingual bottleneck features for almost zero-resource languages ...
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16
Feature exploration for almost zero-resource ASR-free keyword spotting using a multilingual bottleneck extractor and correspondence autoencoders ...
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17
Multilingual and Unsupervised Subword Modeling for Zero-Resource Languages ...
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18
Visually grounded learning of keyword prediction from untranscribed speech ...
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19
Semantic speech retrieval with a visually grounded model of untranscribed speech ...
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20
Unsupervised neural and Bayesian models for zero-resource speech processing ...
Kamper, Herman. - : arXiv, 2017
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