49 results about "Pitch range" patented technology

Porous films with straight pores oriented normal to the plane of the films are produced through solution processing techniques. The production takes advantage of inorganic-surfactant or inorganic-polymer co-assembly and a patterned substrate. The patterned substrate, which is also produced via solution phase self-assembly, forces vertical orientation in a hexagonal cylinder system with no practical limits in substrate size or type. This provides a route to vertically oriented inorganic pores with a pitch ranging from 3 nm to over 15 nm and pore sizes ranging from 2 nm to over 12 nm. The size is tuned by choice the choice of organic templating agents and the deposition conditions. The pores can be produced with or without a capping layer which can be used to seal the nanopores.

A method and system for refining an estimated pitch period estimate based on a coarse pitch useful for performing frame loss concealment in an audio decoder as well as for other applications. A normalized correlation at the coarse pitch lag is computed and used as the current best candidate. The normalized correlation is then evaluated at the midpoint of the refinement pitch range on either side of the current best candidate. If the normalized correlation at either midpoint is greater than the current best lag, the midpoint with the maximum correlation is selected as the current best lag. After each iteration, the refinement range is decreased by a factor of two and centered on the current best lag. This bisectional search continues until the pitch has been refined to an acceptable tolerance or until the refinement range has been exhausted. During each step of the bisectional pitch refinement, the signal is decimated to reduce the complexity of computing the normalized correlation.

In an electronic musical instrument 100, CPU confirms a pitch range of music stored in a music memory, and generates a keyboard image as large as possible for display based on marks M1 and M2 on a keyboard and the confirmed pitch range, and sends and displays the generated keyboard image on a television receiver 200, whereby a user is allowed to easily learn a relative relationship between a key position on a keyboard and a key position designated by performance guide in the keyboard image. The marks M1 and M2 are provided on the keyboard for indicating key positions corresponding respectively to reference pitches C4 and C5.

A pitch detection method and apparatus are disclosed. The method includes: performing pitch detection on an input signal in a signal domain, and obtaining a candidate pitch; performing linear prediction (LP) on the input signal, and obtaining an LP residual signal; setting a candidate pitch range that includes the candidate pitch; searching the candidate pitch range for the LP residual signal, and obtaining a selected pitch.

Various embodiments are directed to an automated method and system component for generating variations of one or more musical selections directed to particular students or to particular skill-levels into which students may be classified. The method and system component may be included in a wide variety of different music rendering, music display, and music instruction systems. In one embodiment, variations are generated by filtering each layer of a musical selection with respect to a number of common, musical elements, with the filtering chosen to reflect a selected or desired skill-level. In this embodiment, the layers of a musical selection include a melody line, a chord progression, and a bass line, and musical elements include key-signature, rhythm, pitch range, tempo and meter, and technique. Skill-level may be based on a numerically-encoded range of skill-levels, or may include a number of fixed skill-levels, such as beginning, easy, intermediate, and advanced levels.

An interior-permanent-magnet motor structure includes an air gap having the form of an annular band. The air gap is positioned between the stator and the rotor. The width of the annular band of the air gap has a maximum value and a minimum value within each pole pitch range. Accordingly, the air gap magnetic flux is nearly in sine wave state.

On the basis of performance event information, at least two notes to be sounded in succession or in an overlapping relation to each other are detected, and a tone pitch difference between the detected at least two notes is detected. Tone pitch difference limitation ranges are set in corresponding relation to various rendition styles. Rendition style to be imparted to the notes to be sounded in succession or in an overlapping relation is designated, and a comparison is made between a tone pitch difference limitation range corresponding to the designated rendition style and the detected tone pitch difference, so as determine whether the designated rendition style is applicable or not. In this way, whether the designated rendition style is to be applied or not is automatically controlled in accordance with the tone pitch difference of the at least two notes to be imparted with the rendition style. Further, pitch range limitation ranges are set in corresponding relation to various rendition styles, and the applicability of a designated rendition style is controlled depending on whether or not a tone to be imparted with the designated rendition style is within the pitch range limitation range corresponding to the designated rendition style.

A method of identifying and defining forbidden pitches or forbidden pitch ranges for a lithographic exposure tool under a given set of exposure conditions is provided. In the method, a computer simulation is performed, and its results are compared to frequently used pitches to see if such frequently used pitches may yield depth-of-focus (DOF) values greater than the focus budget for the exposure tool. If so, a verification test is performed by using a test mask and actually exposing a surface with the same pattern pitches simulated. From this, actual DOF values are obtained and compared to the focus budget of the exposure tool. Any pitches having a DOF value greater than the focus budget are designated as forbidden pitches. This forbidden pitch information may be integrated into a design rule to restrict the use of such forbidden pitches under the given exposure conditions where they are likely to arise.

The invention relates to a multi-channel video automatic editing method applied to a campus football match. The multi-channel video automatic editing method applied to the campus football match comprises video acquisition and video automatic editing; wherein the video acquisition is acquiring the multi-channel video images accurately through the shooting of a multi-channel camera and the calibration of the pitch range; and the video automatic editing is editing the multi-channel video into one channel output video automatically through performing video background modeling and ball and human moving target detection on the multi-channel video images. Compared with the prior art, the multi-channel video automatic editing method applied to the campus football match has the advantages of cost saving, simple operation, convenient and so on.

A method of applying optical proximity correction features to a mask having a plurality of features to be imaged. The method includes the steps of defining a set of process parameters to be utilized to image the mask; defining a set of pitch ranges corresponding to pitches exhibited by the plurality of features to be imaged; determining an interference map for at least one of the pitch ranges; and generating a set of rules for positioning scattering bars adjacent the plurality of features based on the interference map, where the set of rules governs scattering bar placement for features having a pitch which falls within the pitch range utilized to generate the interference map.

A plurality of play style dependence tone colors belonging to one kind of musical instrument tone color but being different from one another in terms of play styles are respectively assigned to different values of velocity and note number. For example, play style dependence tone colors such as open soft and open middle of a steel guitar are assigned to tone pitch ranges C2 to B5, and the play style dependence tone colors are respectively assigned to different velocity values. Play style dependence tone colors such as strumming and fret noise of a steel guitar are assigned to tone pitch ranges C6 to G8, and the play style dependence tone colors are respectively assigned to different note number values. By setting the note number and velocity values in note-on event data in various ways, musical tone signals of various play style dependence tone colors are generated even if the program change and bank select data are not changed. This provides shorter processing time needed for switching among tone colors of different play styles, and also the work of editing the performance data or the like including the switching of the tone colors can be performed easily and accurately.

System and method embodiments are provided for very short pitch detection and coding for speech or audio signals. The system and method include detecting whether there is a very short pitch lag in a speech or audio signal that is shorter than a conventional minimum pitch limitation using a combination of time domain and frequency domain pitch detection techniques. The pitch detection techniques include using pitch correlations in time domain and detecting a lack of low frequency energy in the speech or audio signal in frequency domain. The detected very short pitch lag is coded using a pitch range from a predetermined minimum very short pitch limitation that is smaller than the conventional minimum pitch limitation.

The invention discloses a music score presenting method, comprising the following steps: 1) accessing each music note in the music score; recording the high pitch h of each music note in the music score; identifying the highest pitch h1 and the lowest pitch h2 for each music note in the music score during a specific scope; 2) selecting the pitch range a of the music note region in need of display and marking the highest position of the music note region as A1 and the lowest position of the music note region as A2 wherein A2=A1-a; 3) calculating the pitch value delta1=a/(h1-h2) for each unit pitch; and 4) calculating respectively the pitch value for the music note region corresponding to each music note A=A1-delat1X(h1-h); and according to the pitch value A, making the positions of the music notes in the music note region according to the pitch ranking. The method of the invention could help music learners to deal with the problem with the difficulty to know about the music score by making the music score or the lyrics represent the superiority of musical notations, therefore, increasing the accuracy and convenience of music score understanding.

An electronic musical instrument includes: a plurality of keys that include at least first keys corresponding to a first pitch range and second keys corresponding to a second pitch range; and at least one processor, configured to perform the following: in accordance with a key operation in the first pitch range, determining a syllable position contained in a phrase; and in accordance with a key operation in the second pitch rang, instructing a sound production of a digitally synthesized sound corresponding to the determined syllable position.

A method for calculating a pitch estimation of a speech signal that uses a voice processor. The speech signal includes a plurality of speech data and the method includes the following steps: (a) determining a pitch upper bound and a pitch lower bound of the speech signals according to speech signals and the pitch range corresponding to the speech signals stored in a database; (b) calculating a lower bound of a lag parameter and an upper bound of the lag parameter according to the pitch upper bound and the pitch lower bound of the speech signals; (c) calculating the autocorrelation values of the speech signals according to a plurality of the lag parameters between the upper bound and lower bound of the lag parameter; and (d) comparing the autocorrelation values and selecting the largest value and using the lag parameter corresponding to the largest autocorrelation value to calculate the pitch estimation of the speech signals.