Samsung Electronics Co., Ltd.

Seoul National University

Seiko Epson Corporation

Electronics and Telecommunications Research Institute

Nam-soo Kim

Jae-Won Lee

Hyun Kyu Yu

Yong-jin Cho

Mun Yang Park

Sang-Gug Lee

Moo-young Kim

Seon-Ho Han

Sang-ryong Kim

Eun-kyoung Kim

Seong-Do Kim

Ki-wan Eom

Chang-woo Han

Hyung-joon Lim

Yong-Sik Youn

Jae-sung Kwon

Chong-Tai Kim

Chul-Jin Kim

Jin-Soo Maeng

Soo-Jin Kwon

Tae-gyoon Kang

Doo-hwa Hong

Jun-sig Sung

A method and apparatus of generating a singing voice are provided. The method for generating a singing voice includes: generating a first transformation function representing correlations between average voice data and singing voice data, based on the average voice data and the singing voice data; generating a second transformation function by reflecting music information into the first transformation function; and generating a singing voice by transforming the average voice data by using the second transformation function.

Method and apparatus for generating singing voice

At least at least one embodiment of the present invention relates to a method for using a high pressure-resistant enzyme in a high pressure condition; a method for promoting the activity of the high pressure-resistant enzyme by means of a high pressure treatment; a composition, which contains the high pressure-resistant enzyme, for decomposing proteins under a high pressure condition; a composition, which contains the composition for decomposing proteins, for preparing natural flavoring substances; a container for high pressure treatment, which contains the composition for decomposing proteins; and a method for measuring the activity of the high pressure-resistant enzyme, which comprises a step of decomposing an azocasein solution serving as a substrate by using the high pressure-resistant enzyme treated under a high pressure condition.

Method for using an enzyme resistant to high pressures

A method of recognizing speech is provided. The method includes the operations of (a) dividing first speech that is input to a speech recognizing apparatus into frames; (b) converting the frames of the first speech into frames of second speech by applying conversion rules to the divided frames, respectively; and (c) recognizing, by the speech recognizing apparatus, the frames of the second speech, wherein (b) comprises converting the frames of the first speech into the frames of the second speech by reflecting at least one frame from among the frames that are previously positioned with respect to a frame of the first speech.

Front-end processor for speech recognition, and speech recognizing apparatus and method using the same

A speech enhancement method, including the steps of: (a) segmenting an input speech signal into a plurality of frames and transforming each frame signal into a signal of the frequency domain; (b) computing the signal-to-noise ratio of a current frame, and computing signal-to-noise ratio of a frame immediately preceding the current frame; (c) computing the predicted signal-to-noise ratio of the current frame which is predicted based on the preceding frame and computing the speech absence probability using the signal-to-noise ratio and predicted signal-to-noise ratio of the current frame; (d) correcting the two signal-to-noise ratios obtained in the step (b) based on the speech absence probability computed in the step (c); (e) computing the gain of the current frame with the two corrected signal-to-noise ratios obtained in the step (d), and multiplying the speech spectrum of the current frame by the computed gain; (f) estimating the noise and speech power for the next frame to calculate the predicted signal-to-noise ratio for the next frame, and providing the predicted signal-to-noise ratio for the next frame as the predicted signal-to-noise ratio of the current frame for the step (c); and (g) transforming the result spectrum of the step (e) into a signal of the time domain. The noise spectrum is estimated in speech presence intervals based on the speech absence probability, as well as in speech absence intervals, and the predicted SNR and gain are updated on a per-channel basis of each frame according to the noise spectrum estimate, which in turn improves the speech spectrum in various noise environments.

Speech enhancement method

An automatically gain controllable linear differential amplifier using a variable degeneration resistor is disclosed. The linear differential amplifier includes an input end, a bias current source, a load unit, a first MOS transistor and a second MOS transistor. The linear differential amplifiers of the present invention can control an amplifying gain according to an input signal and improve linearity IIP without needing additional power consumption caused by improving the linearity. The automatically gain controllable linear differential amplifier uses NMOS/PMOS transistor so an integration process of the amplifier can be implemented more conveniently and efficiently.

Automatically gain controllable linear differential amplifier using variable degeneration resistor

Growing community of inventors

Seoul, South Korea

Nam-soo Kim