National Chung Cheng University

National Applied Research Laboratories

Tay-Jyi Lin

Jinn-Shyan Wang

Ching-Wei Yeh

Chun-Ming Huang

Yi-Hsuan Ting

Ting-Yu Shyu

Yu Chia Hu

Che-Chia Pai

Hong-Chih Lin

Yuan-Hsiang Miao

Shau-Chian Tang

Ching-Hau Sung

Che Chia Pai

Hsi Che Wang

The present application discloses a Method for converting vibration to voice frequency wirelessly and a method thereof. By sensing a first vibration variation data and a voice frequency variation data of a vocal vibration part in a first sensing period, a voice frequency reference data is obtained from the voice frequency variation data and the first vibration result. A second vibration result is obtained at a second sensing period for converting to a voice frequency output signal, and the voice frequency output signal is used to output as a voice signal corresponding to the voice frequency various result. Thus, the present application provides a voice signal close to a human voice.

Method for converting vibration to voice frequency wirelessly

A device for computing an inner product includes an index unit, a storage operation unit, a redundant to 2's complement (RTC) converter, a mapping table, and a multiplier-accumulate (MAC) module. The index unit, storing index values, is coupled to word lines. The storage operation unit includes the word lines and bit lines and stores data values. The mapping table stores coefficients corresponding to the index values. The index unit enables the word line according to a count value and the index value, such that the storage operation unit accumulates the data values corresponding to the bit lines and the enabled word line, thereby generating accumulation results. The RTC converter converts the accumulation results into a total data value in 2's complement format. The MAC module operates based on the total data value and the coefficient to generate an inner product value.

Device for computing an inner product

A device and a method for clarifying dysarthria voices is disclosed. Firstly, a dysarthria voice signal is received and framed to generate dysarthria frames. Then, the dysarthria frames are received to retrieve dysarthria features. Finally, the dysarthria features are received. Without receiving phases corresponding to the dysarthria features, the dysarthria features are converted into an intelligent voice signal based on an intelligent voice conversion model. The intelligent voice conversion model is not trained by the dynamic time warping (DTW). The present invention avoids the phase distortion of the voice signal and provides more natural and clarified voices with low noise.

Device and method for clarifying dysarthria voices

A device for computing the inner product of vectors includes a vector data arranger, a vector data pre-accumulator, a number converter, and a post-accumulator. The vector data arranger stores a first vector and sequentially outputs a plurality of vector data based on the first vector. The vector data pre-accumulator stores a second vector, receives each of the vector data, and pre-accumulates the second vector, so as to generate a plurality accumulation results. The number converter and the post-accumulator receive and process all the accumulation results corresponding to each of the vector data to generate an inner product value. The present invention implements a lookup table with the vector data pre-accumulator and the number converter to increase calculation speed and reduce power consumption.

Device for computing the inner product of vectors

The present application discloses a system for converting vibration to voice frequency wirelessly and a method thereof. By sensing a first vibration variation data and a voice frequency variation data of a vocal vibration part in a first sensing period, a voice frequency reference data is obtained from the voice frequency variation data and the first vibration result. A second vibration result is obtained at a second sensing period for converting to a voice frequency output signal, and the voice frequency output signal is used to output as a voice signal corresponding to the voice frequency various result. Thus, the present application provides a voice signal close to a human voice.

System for converting vibration to voice frequency wirelessly

A system for improving dysarthria speech intelligibility and method thereof, are provided. In the system, user only needs to provides a set of paired corpus including a reference corpus and a patient corpus, and a speech disordering module can automatically generate a new corpus completely synchronous with the reference corpus, and the new corpus can be used as a training corpus for training a dysarthria voice conversion model. The present invention does not need to use a conventional corpus alignment technology or a manual manner to perform pre-processing on the training corpus, so that manpower cost and time cost can be reduced, and synchronization of the training corpus can be ensured, thereby improving both training and conversion qualities of the voice conversion model.

System for improving dysarthria speech intelligibility and method thereof

A variable-latency computing device includes a computing module, enabling units, a storage operation unit, and a detecting controller. The enabling units are divided into at least two groups. The storage operation unit includes word lines and bit lines. The enabling units enable the word line. The storage operation unit accumulates the data values corresponding to the bit lines and the enabled word line, thereby computing first accumulation values. The detecting controller controls the computing module to stop receiving the first accumulation values when the sum of the first accumulation values is higher than a threshold value and takes turns to turn off the at least two groups. The storage operation unit computes second accumulation values during different periods. The computing module receives and computes the second accumulation values corresponding to the at least two groups, so as to generate a computation value.

Variable-latency device to reduce sense error in multi-level multi-bit sensing scheme

The present invention discloses a speculative lookahead processing device and method to enhance the statistical performance of datapaths. The method comprises steps: entering an input signal to at least two datapath units in a round-robin way; outputting the correct value at the Nth cycle, and acquiring the speculation value at the Mth cycle beforehand to start the succeeding computation, wherein M and N are natural numbers and M is smaller than N; comparing the speculation value with the correct value at the Nth cycle to determine whether the speculation is successful; if successful, excluding extra activities; if not successful, deleting the succeeding computation undertaken beforehand and restarting the succeeding computation with the correct value.

Speculative lookahead processing device and method

A device for detecting and correcting timing error and a method for designing typical-case timing using the same is disclosed. The device includes two datapath units connected with first and second multiplexers and two transition detectors. Each datapath unit receives and calculates an input signal to generate a speculation value and a correct value. Then, the speculation value and the correct value are transmitted to the first and second multiplexers and the transition detectors determine whether transition of the outputted speculation value is unstable. If yes, the datapath unit outputting the speculation value is stalled for a period of time for correction, whereby the second multiplexer outputs the correct value. If no, the datapath unit outputs the speculation value, then the present invention uses the undertaken timing as a setting specification to complete a circuit design. The present invention can improve system efficiency and power of the whole circuit.

Device for detecting and correcting timing error and method for designing typical-case timing using the same

A video device for realtime pedaling frequency estimation is mounted on a bike and comprises an image capture unit capturing continuous dynamic images of an upper body of a biker; an image recognition unit recognizing images of symmetric regions of the biker and images of swings of the symmetric regions from the continuous dynamic images; a microprocessor calculating a frequency of periodical swings of the biker from the images of the symmetric regions and the images of the swings of the symmetric regions, and then obtaining a pedaling frequency; and a display device presenting the pedaling frequency, wherein a widely-used intelligent handheld device replaces the sensors, display device, and complicated circuits of the conventional cyclometer, and wherein a novel image recognition technology is used to measure the pedaling frequency with a considerable accuracy in a lower cost and a convenient way.

Growing community of inventors

Chiayi County, Taiwan

Tay-Jyi Lin