Search Results for author:
Found 5 papers, 1 papers with code
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization
In this paper, we propose a new training scheme that extends the standard VAE via novel stochastic dequantization and quantization, called stochastically quantized variational autoencoder (SQ-VAE).
End-to-end Adaptation with Backpropagation through WFST for On-device Speech Recognition System
We convert a pretrained WFST to a trainable neural network and adapt the system to target environments/vocabulary by E2E joint training with an AM.
Transformer ASR with Contextual Block Processing
In this paper, we propose a new block processing method for the Transformer encoder by introducing a context-aware inheritance mechanism.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Towards Online End-to-end Transformer Automatic Speech Recognition
In this paper, we extend it towards an entire online E2E ASR system by introducing an online decoding process inspired by monotonic chunkwise attention (MoChA) into the Transformer decoder.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Polyphone disambiguation and accent prediction using pre-trained language models in Japanese TTS front-end
Although end-to-end text-to-speech (TTS) models can generate natural speech, challenges still remain when it comes to estimating sentence-level phonetic and prosodic information from raw text in Japanese TTS systems.
