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11/17/2022
Efficient Transformers with Dynamic Token Pooling
Transformers achieve unrivalled performance in modelling language, but r...
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06/05/2022
Variable-rate hierarchical CPC leads to acoustic unit discovery in speech
The success of deep learning comes from its ability to capture the hiera...
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10/29/2021
Contrastive prediction strategies for unsupervised segmentation and categorization of phonemes and words
We investigate the performance on phoneme categorization and phoneme and...
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08/23/2021
One TTS Alignment To Rule Them All
Speech-to-text alignment is a critical component of neural textto-speech...
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06/22/2021
Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw
We present a number of low-resource approaches to the tasks of the Zero ...
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04/27/2021
Named Entity Recognition and Linking Augmented with Large-Scale Structured Data
In this paper we describe our submissions to the 2nd and 3rd SlavNER Sha...
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04/24/2021
Aligned Contrastive Predictive Coding
We investigate the possibility of forcing a self-supervised model traine...
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06/11/2020
FastPitch: Parallel Text-to-speech with Pitch Prediction
We present FastPitch, a fully-parallel text-to-speech model based on Fas...
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06/03/2020
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning
Probabilistic Latent Variable Models (LVMs) provide an alternative to se...
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05/18/2020
Robust Training of Vector Quantized Bottleneck Models
In this paper we demonstrate methods for reliable and efficient training...
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01/14/2019
Towards Using Context-Dependent Symbols in CTC Without State-Tying Decision Trees
Deep neural acoustic models benefit from context dependent modeling of o...
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08/03/2018
Efficient Purely Convolutional Text Encoding
In this work, we focus on a lightweight convolutional architecture that ...
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05/21/2018
A Talker Ensemble: the University of Wrocław's Entry to the NIPS 2017 Conversational Intelligence Challenge
We present Poetwannabe, a chatbot submitted by the University of Wrocław...
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01/22/2014