Mandarin/English mixed-lingual name recognition for mobile phone

資源受限運算環境下華英混雜語音辨識系統 (Mandarin/English Mixed-Lingual Speech Recognition System on Resource-Constrained Platforms) [In Chinese]

Mixed-lingual spoken word recognition by using VQ codebook sequences of variable length segments

We are investigating unsupervised phone modeling. This paper describes a derivation method of VQ codebook sequences of variable length segments from spoken word samples, and also describes evaluation results by applying the method to mixed-lingual speech recognition tasks which include non-native speakers. The VQ codebook is generated based on a piecewise linear segmentation method which includ...

Concatenative Mandarin Tts Accommodating Isolated English Words

An experiment to explore the method realizing a concatenative Chinese TTS accommodating isolated English words is presented. The experiment was based on an existing concatenative Mandarin TTS system, developed in Motorola China Research Center. The experimental system employs an English word synthesizer based on the concatenation of speech segments stored in an English corpus. The original Engl...

Cross-lingual Speaker Adaptation for Hmm-based Speech Synthesis

This paper explores a cross-lingual speaker adaptation technique for HMM-based speech synthesis, where a source voice model for English is transformed into a target speaker model using Mandarin Chinese speech data from the target speaker. A phone mappingbased method is adopted to map Chinese Initial/Finals into English phonemes and two types of mapping rules, including one-to-one and one-to-seq...

Analysis of unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis using KLD-based transform mapping

In the EMIME project, we developed a mobile device that performs personalized speech-to-speech translation such that a user’s spoken input in one language is used to produce spoken output in another language, while continuing to sound like the user’s voice. We integrated two techniques into a single architecture: unsupervised adaptation for HMM-based TTS using word-based large-vocabulary contin...