National Yang Ming Chiao Tung University

Chen-Yu Chiang

Sin-Horng Chen

Yih-Ru Wang

Yi-Wen Chen

Kai-Tai Song

Ming-Chieh Liu

Chao-Yu Lin

Yi-Chiao Wu

Yuan-Fu Liao

Jyh-Her Yang

Guan-Ting Liou

Shuo-Cheng Chien

Chiao-Hua Hsieh

A method is disclosed. The proposed method includes: providing an initial speech corpus including plural utterances; based on a condition of maximum a posteriori (MAP), according to respective sequences of syllable duration, syllable duration prosodic state, syllable tone, base-syllable type, and break type of the kutterance, using a probability of an ISR of the kutterance xto estimate an estimated value {circumflex over (x)}of the x; and through the MAP condition, according to respective sequences of syllable duration, syllable duration prosodic state, syllable tone, base-syllable type, and break type of the given lbreath group/prosodic phrase group (BG/PG) of the kutterance, using a probability of an ISR of the lBG/PG of the kutterance xto estimate an estimated value {circumflex over (x)}of the xwherein the {circumflex over (x)}is the estimated value of local ISR, and a mean of a prior probability model of the {circumflex over (x)}is the {circumflex over (x)}.

Method of generating estimated value of local inverse speaking rate (ISR) and device and method of generating predicted value of local ISR accordingly

A speech-synthesizing device includes a hierarchical prosodic module, a prosody-analyzing device, and a prosody-synthesizing unit. The hierarchical prosodic module generates at least a first hierarchical prosodic model. The prosody-analyzing device receives a low-level linguistic feature, a high-level linguistic feature and a first prosodic feature, and generates at least a prosodic tag based on the low-level linguistic feature, the high-level linguistic feature, the first prosodic feature and the first hierarchical prosodic model. The prosody-synthesizing unit synthesizes a second prosodic feature based on the hierarchical prosodic module, the low-level linguistic feature and the prosodic tag.

Streaming encoder, prosody information encoding device, prosody-analyzing device, and device and method for speech synthesizing

A Chinese speech recognition system and method is disclosed. Firstly, a speech signal is received and recognized to output a word lattice. Next, the word lattice is received, and word arcs of the word lattice are rescored and reranked with a prosodic break model, a prosodic state model, a syllable prosodic-acoustic model, a syllable-juncture prosodic-acoustic model and a factored language model, so as to output a language tag, a prosodic tag and a phonetic segmentation tag, which correspond to the speech signal. The present invention performs rescoring in a two-stage way to promote the recognition rate of basic speech information and labels the language tag, prosodic tag and phonetic segmentation tag to provide the prosodic structure and language information for the rear-stage voice conversion and voice synthesis.

Chinese speech recognition system and method

The present invention discloses a human identification system by fusion of face recognition and speaker recognition, a method and a service robot thereof. The system fuses results of the face recognition and the speaker recognition, and further uses confidence index to estimate the confidence level of the two recognition results. If only one of the confidence indices of the two recognition results reaches the threshold, then only this result is used as the output. If both confidence indices of the two recognition results reach the threshold, then the two recognition results are fused to output as a final result.

Human identification system by fusion of face recognition and speaker recognition, method and service robot thereof

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Hsinchu, Taiwan

Chen-Yu Chiang