124 results about "Linear predictive coding" patented technology

A method and apparatus are provided for compressing and using a concatenative speech database in TTS systems to improve the quality of speech output generated by handheld TTS systems by allowing synthesis to occur on the client. According to one embodiment of the present invention, a G.723 encoder receives diphone waveforms, and compresses them into diphone residuals. While compressing the diphone waveforms, the encoder generates Linear Predictive Coding (LPC) coefficients. The diphone residuals, and the encoder-generated LPC coefficients are then stored in encoder-generated compressed packet.

An apparatus for concealing a highband error in a spilt-band wideband voice codec in accordance with the present invention is disclosed. The apparatus includes: a lowband LPC coefficient extracting unit for extracting a lowband linear predictive coding (LPC) coefficient from a lowband voice signal passed by a lowband decoding unit; a highband excitation signal generating unit for generating a highband excitation signal based on the lowband voice signal and the lowband LPC coefficient; a highband LPC coefficient generating unit for generating a highband LPC coefficient based on the lowband LPC coefficient; a highband voice synthesizing unit for synthesizing a highband voice signal based on the highband excitation signal and the highband LPC coefficient; and a high pass filtering unit for removing a lowband component of the synthesized highband voice signal by the highband voice synthesis unit and generating the synthesized highband voice signal.

A quantizing apparatus is provided that includes a quantization path determiner that determines a path from a first path not using inter-frame prediction and a second path using the inter-frame prediction, as a quantization path of an input signal, based on a criterion before quantization of the input signal; a first quantizer that quantizes the input signal, if the first path is determined as the quantization path of the input signal; and a second quantizer that quantizes the input signal, if the second path is determined as the quantization path of the input signal.

Provided are a method and apparatus for encoding or decoding an audio signal by adaptively interpolating a linear predictive coding (LPC) coefficient. In the method and apparatus of encoding or decoding an audio signal, LPC coefficient interpolation is selectively performed depending on whether a transient section is present in a current frame, thereby preventing noise from occurring when interpolating LPC coefficients in the transient section.

Proposed is a method and apparatus for determining a weighting function for quantizing a linear predictive coding (LPC) coefficient and having a low complexity. The weighting function determination apparatus may convert an LPC coefficient of a mid-subframe of an input signal to one of a immitance spectral frequency (ISF) coefficient and a line spectral frequency (LSF) coefficient, and may determine a weighting function associated with an importance of the ISF coefficient or the LSF coefficient based on the converted ISF coefficient or LSF coefficient.

When a frame immediately preceding an encoding target frame to be encoded by a first encoding unit operating under a linear predictive coding scheme is encoded by a second encoding unit operating under a coding scheme different from the linear predictive coding scheme, the encoding target frame can be encoded under the linear predictive coding scheme by initializing the internal state of the first encoding unit. Therefore, encoding processing performed under a plurality of coding schemes including the linear predictive coding scheme and a coding scheme different from the linear predictive coding scheme can be realized.

The invention relates to an obstructive sleep apnea-hypopnea syndrome (OSAHS) screening method and a device. Formant characteristics of snore are adopted as technical indexes for screening OSAHS; Snore sections are extracted by a short-time energy method at first, then LPC (linear predictive coding) is used for modeling, after predicting factors of the LPC are obtained, a first formant frequency of each snore section is obtained by a root extraction method, as ranges of formant frequencies of different modes are different, the different snore sections can be distinguished, all first formant frequencies of all snorers are classified, by the aid of K mean values, and thresholds for distinguishing normal snore and abnormal snore of individuals are determined according to classified results; and then AHI (apnea-hypopnea indexes) in a PSG (polysomnogram) are simulated so that average times of apnea and hypopnea of the snorers within an hour are obtained. According to the OSAHS judgment standard, whether the data section has snore of a normal person or snore of a patient with the OSAHS is judged. The obstruction sleep apnea-hypopnea syndrome screening method and the device are low in cost, high in applicability and simple in operation and are non-contacting.

An audio enhancement system for compensating for ambient noise in a listening environment, comprises an audio system that produces an electrical sound signal and generates a sound output from the electrical sound signal. A sensor (e.g., a microphone) senses a total sound signal representative of the total sound level in the listening environment, including the sound output from the audio system and the ambient noise within the listening environment. A processing unit responsive to the total sound signal and the electrical sound signal extracts from the total sound signal an ambient noise signal representative of the ambient noise in the listening environment. A controller responsive to the ambient noise signal performs a linear predictive coding (LPC) analysis and generates a control signal, which is input to an equalizer to adjust the sound output of the audio system in order to compensate for the ambient noise level.

An apparatus for quantizing a spectral envelope with noise robustness showing high performance even under a background noise environment and a channel noise environment, and a method therefor, are provided. The spectral envelope quantizing apparatus includes a spectral envelope quantizing apparatus with noise robustness for representing a spectral envelope of speech by a minimum number of bits for the optimal coding of a speech signal. The apparatus includes a line spectrum frequencies (LSFs) input portion for converting linear predictive coding coefficients extracted from the speech into Nth order line spectrum frequencies coefficients and inputting the coefficients as the LSFs of a current frame. It also includes a linked split-vector quantizing portion for dividing the LSFs into a predetermined number of linked sub-vectors and quantizing the sub-vectors, and a predictive linked split-vector quantizing portion for obtaining the difference between the LSFs and the LSFs of a previous frame and vector-quantizing the difference. The apparatus further includes an error selector for comparing the error values of the LSFs quantized in the linked split-vector quantizing portion and the predictive linked split-vector quantizing portion, selecting the codebook index of the quantized LSFs having the smaller error value, and outputting the selected codebook index together with a mode bit.

Methods and apparatus are provided for coding and decoding a digital audio signal. Decoding includes: decoding according to an inverse transform decoding of a previous frame of samples of the digital signal, which is received and coded according to a transform coding; and decoding according to a predictive decoding of a current frame of samples of the digital signal, which is received and coded according to a predictive coding. The predictive decoding of the current frame is a transition predictive decoding which does not use any adaptive dictionary arising from the previous frame. At least one state of the predictive decoding is reinitialized to a predetermined default value, and an add-overlap step combines a signal segment synthesized by predictive decoding of the current frame and a signal segment synthesized by inverse transform decoding, corresponding to a stored segment of the decoding of the previous frame.

The invention discloses a method for converting emotional speech by combining rhythm parameters (fundamental frequency, time length and energy) with a tone parameter (a formant), which mainly comprises the following steps of: 1, carrying out extraction and analysis of feature parameters on a Beihang University emotional speech database (BHUDES) emotional speech sample (containing neutral speech and four types of emotional speech of sadness, anger, happiness and surprise); 2, making an emotional speech conversion rule and defining each conversion constant according to the extracted feature parameters; 3, carrying out extraction of the feature parameters and fundamental tone synchronous tagging on the neutral speech to be converted; 4, setting each conversion constant according to the emotional speech conversion rule in the step 2, modifying a fundamental frequency curve, the time length and the energy and synchronously overlaying fundamental tones to synthesize a speech signal; and 5, carrying out linear predictive coding (LPC) analysis on the speech signal in the step 4 and modifying the formant by a pole of a transfer function so as to finally obtain the emotional speech rich in expressive force.

An approach for providing non-commutative approaches to signal processing. Quaternions are used to represent multi-dimensional data (e.g., three- and four-dimensional data). Additionally, a linear predictive coding scheme (e.g., based on the Levinson algorithm) that can be applied to wide class of signals in which the autocorrelation matrices are not invertible and in which the underlying arithmetic is not commutative. That is, the linear predictive coding scheme multi-channel can handle singular autocorrelations, both in the commutative and non-commutative cases. This approach also utilizes random path modules to replace the statistical basis of linear prediction.

A method for determining coefficients of a family of cascaded second order Infinite Impulse Response (IIR) parametric filters used for equalizing a room response. The method includes determining parameters of each IIR parametric filter from poles or roots of a reasonably high-order Linear Predictive Coding (LPC) model. The LPC model is able to accurately model the low-frequency room response modes providing better equalization of loudspeaker and room acoustics, particularly at the low frequencies. Advantages of the method include fast and efficient computation of the LPC model using a Levinson-Durbin recursion to solve the normal equations that arise from the least squares formulation. Due to possible band interactions between the cascaded IIR parametric filters, the method further includes optimizing the Q value of each filter to better equalize the room response.

The invention discloses a method and a device for expanding an LPC (linear predictive coding) peripheral on the basis of a GPIO (general purpose input/output) interface. The method includes primarily communicating the LPC peripheral with the GPIO interface of a CPU (central processing unit) on the basis of a two-way asynchronous request-acknowledge handshake protocol; forwarding received messages to the lower-level LPC peripheral by the aid of a secondary synchronous handshake protocol or interrupting operation on an internal register; reversely initiating interrupt requests to the GPIO interface of the CPU if serial interrupt requests or internal interrupt requests of the LPC peripheral are received. The device comprises a GPIO and LPC interface module, an LPC bus protocol control module and an LPC serial interrupt control module. The GPIO and LPC interface module is connected with the CPU. The method and the device have the advantages that the LPC peripheral can be expanded easily and flexibly, a system can be expanded conveniently, communication is irrelevant to particular clocks, special requirements on a clock of the GPIO interface can be omitted, communication data are reliable, hardware resources can be saved, and the method and the device are transparent for upper-layer users.

Disclosed are a method for determining whether a person is drunk after consuming alcohol on the basis of a difference among a plurality of formant energy energies, which are generated by applying linear predictive coding according to a plurality of linear prediction orders, and a recording medium and a terminal for carrying out the method. The alcohol consumption determining terminal comprises: a voice input unit for receiving voice signals and converting same into voice frames and outputting the voice frames; a voiced/unvoiced sound analysis unit for extracting voice frames corresponding to a voiced sound from among the voice frames; an LPC processing unit for calculating a plurality of formant energy energies by applying linear predictive cording according to the plurality of linear prediction orders to the voice frames corresponding to the voiced sound; and an alcohol consumption determining unit for determining whether a person is drunk after consuming alcohol on the basis of a difference among the plurality of formant energy energies which have been calculated by the LPC processing unit, thereby determining whether a person is drunk after consuming alcohol depending on a change in the formant energy energies generated by applying linear predictive coding according to the plurality of linear prediction orders to voice signals.

The invention relates to the field of video image processing and provides a spatial prediction method for video coding. The method comprises the following steps: A. a coder selects out usable candidate predictive coding modes by respectively adopting an edge-direction-based mode selection, a context-model-based mode selection and a mode selection which is based on the coding mode of image same position upper block of the last frame according to a predictive coding mode; B. predictive coding is carried out by the coder according to the candidate predictive coding modes, and the Lagrange cost functions of all the candidate predictive coding modes are calculated; and C. the coder compares the Lagrange cost functions of the candidate predictive coding modes and selects the minimum value as the optimal predictive coding mode. By adopting the method, high-accurate judgment is ensured, and the calculation complexity is reduced simultaneously, thereby the calculation amount is reduced.

A noise suppression system reduces low-frequency noise in a speech signal using linear predictive coefficients in an adaptive filter. A digital filter may update or adapt a limited set of linear predictive coefficients on a sample-by-sample basis. The linear predictive coefficients may be used to provide an error signal based on a difference between the speech signal and a delayed speech signal. The error signal represents an enhanced speech signal having attenuated and normalized low-frequency noise components.

The present disclosure is directed towards a method for speech intelligibility. The method may include receiving, at one or more computing devices, a first speech input from a first user and performing voice activity detection upon the first speech input. The method may also include analyzing a spectral tilt associated with the first speech input, wherein analyzing includes computing an impulse response of a linear predictive coding (“LPC”) synthesis filter in a linear pulse code modulation (“PCM”) domain and wherein the one or more computing devices includes an adaptive high pass filter configured to recalculate one or more linear prediction coefficients.

The invention provides a system state display method and device based on a CPLD (Complex Programmable Logic Device). The method comprises the following steps that: through the CPLD, monitoring the activation state of a BMC (Baseboard Management Controller); when the BMC is not activated, sending system state information obtained by a PCH (Platform Controller Hub) to the CPLD, carrying out LPC (Linear Predictive Coding) decoding on the system state information by the CPLD, outputting the decoded system state information through a simulation UART (Universal Asynchronous Receiver/Transmitter) interface, and displaying the decoded system state information; when the BMC is activated, sending the system state information obtained by the PCH to the BMC, carrying out LPC decoding on the system state information, and outputting and displaying the decoded system state information through an SYS UART interface. By use of the method, a CPLD chip is selected to assist the BMC in outputting the system UART interface, a GPIO (General Purpose Input/Output), the LPC and the UART is analyzed, the relevant signal of a peripheral chip is detected, the UART interface output is simulated, and therefore,state information can be more comprehensively collected.

A method and apparatus for predictive coding of spherical or 360-degree video. To achieve efficient compression, a rotational motion model is introduced to characterize motion on the sphere, specifically, in terms of sphere rotations about given axes. This model preserves an object's shape and size on the sphere. A motion vector in this model implicitly specifies an axis of rotation and the degree of rotation about that axis, to convey actual motion of the object on the sphere. Complementary to the rotational motion model, an effective location-invariant motion search technique that is agnostic of the projection format is provided that is tailored to the sphere's geometry. Experimental results demonstrate that the preferred embodiments of this invention achieve significant gains over prevalent motion models, across various projection geometries.