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Found 6 papers, 1 papers with code
Latent Filling: Latent Space Data Augmentation for Zero-shot Speech Synthesis
Previous works in zero-shot text-to-speech (ZS-TTS) have attempted to enhance its systems by enlarging the training data through crowd-sourcing or augmenting existing speech data.
An Empirical Study on L2 Accents of Cross-lingual Text-to-Speech Systems via Vowel Space
With the recent developments in cross-lingual Text-to-Speech (TTS) systems, L2 (second-language, or foreign) accent problems arise.
Into-TTS : Intonation Template Based Prosody Control System
Two proposed modules are added to the end-to-end TTS framework: an intonation predictor and an intonation encoder.
Streaming end-to-end speech recognition with jointly trained neural feature enhancement
In this paper, we present a streaming end-to-end speech recognition model based on Monotonic Chunkwise Attention (MoCha) jointly trained with enhancement layers.
Delving into VoxCeleb: environment invariant speaker recognition
Research in speaker recognition has recently seen significant progress due to the application of neural network models and the availability of new large-scale datasets.
KU-ISPL Language Recognition System for NIST 2015 i-Vector Machine Learning Challenge
The experimental results show that the use of duration and score fusion improves language recognition performance by 5% relative in LRiMLC15 cost.
