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Acoustic Unit Discovery

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TitleStatusHype
Pretraining End-to-End Keyword Search with Automatically Discovered Acoustic UnitsCode2
Self-Supervised Syllable Discovery Based on Speaker-Disentangled HuBERTCode1
Word Segmentation on Discovered Phone Units with Dynamic Programming and Self-Supervised ScoringCode1
Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant ClusteringCode1
Bayesian Subspace Hidden Markov Model for Acoustic Unit DiscoveryCode1
Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddingsCode1
Unsupervised speech representation learning using WaveNet autoencodersCode1
Variable-rate hierarchical CPC leads to acoustic unit discovery in speechCode1
Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challengeCode1
Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature RepresentationCode0
Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech ProcessingCode0
Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks—0
Unsupervised Word Segmentation from Speech with Attention—0
Voice Conversion Based Speaker Normalization for Acoustic Unit Discovery—0
Revisiting speech segmentation and lexicon learning with better features—0
An Empirical Evaluation of Zero Resource Acoustic Unit Discovery—0
A Nonparametric Bayesian Approach for Spoken Term detection by Example Query—0
A Temporal Extension of Latent Dirichlet Allocation for Unsupervised Acoustic Unit Discovery—0
Bayesian Models for Unit Discovery on a Very Low Resource Language—0
Learning Phone Recognition from Unpaired Audio and Phone Sequences Based on Generative Adversarial Network—0
LUPET: Incorporating Hierarchical Information Path into Multilingual ASR—0
Regularizing Contrastive Predictive Coding for Speech Applications—0
A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery—0
Self-supervised language learning from raw audio: Lessons from the Zero Resource Speech Challenge—0
Textless NLP -- Zero Resource Challenge with Low Resource Compute—0
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