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Recently, a novel speaker adaptation method was proposed that applied the Speaker Adaptive Training (SAT) concept to a speech recognizer consisting of a Deep Neural Network (DNN) and a Hidden Markov Model (HMM), and its utility was demonstrated. This method implements the SAT scheme by allocating one Speaker Dependent (SD) module for each training speaker to one of the intermediate layers of the front-end...
This study presents an overview of VoiceTra, which was developed by NICT and released as the world'fs first network-based multilingual speech-to-speech translation system for smartphones, and describes in detail its multilingual speech recognition, its multilingual translation, and its multilingual speech synthesis in regards to field experiments. We show the effects of system updates using the data...
In this paper, we present our work on collecting spontaneous texts from the Web for constructing a language model in a Chinese speech recognition system. The selection of spontaneous-like texts involves two steps: First, word-segmented web texts are selected using a perplexity-based approach in which the style-related words are strengthened by omitting infrequent topic words from similarity measurements...
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