Generalized Deep Multiset Canonical Correlation Analysis for Multiview Learning of Speech Representations
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Updated
Apr 9, 2019 - Python
Generalized Deep Multiset Canonical Correlation Analysis for Multiview Learning of Speech Representations
Word Aligned Verification of Synthetic Speech for Automatic Speech Recognition
The Dis-Vector project enhances voice conversion and synthesis through disentangled embeddings, allowing for high-quality, zero-shot voice cloning across multiple languages. This model leverages separate encoders for content, pitch, rhythm, and timbre, enabling precise control over synthesized voice characteristics.
DNN embeddings extraction from audio and speech recordings using PyTorch.
Cross-lingual Transfer for Speech Processing using Acoustic Language Similarity
This repository belongs to my Bachelor's thesis on predicting voice likability from pre-trained speech embeddings.
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