JPS62203199A - Pitch cycle extraction system - Google Patents
Pitch cycle extraction systemInfo
- Publication number
- JPS62203199A JPS62203199A JP61044085A JP4408586A JPS62203199A JP S62203199 A JPS62203199 A JP S62203199A JP 61044085 A JP61044085 A JP 61044085A JP 4408586 A JP4408586 A JP 4408586A JP S62203199 A JPS62203199 A JP S62203199A
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- Prior art keywords
- correlation
- maximum
- value
- pitch
- correlation value
- Prior art date
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- 238000000034 method Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 5
- 239000000284 extract Substances 0.000 description 4
- 230000005236 sound signal Effects 0.000 description 3
- 238000007796 conventional method Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
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Abstract
(57)【要約】本公報は電子出願前の出願データであるた
め要約のデータは記録されません。(57) [Summary] This bulletin contains application data before electronic filing, so abstract data is not recorded.
Description
【発明の詳細な説明】
〔概要〕
入力信号を間引いた信号系列から相関値を求めて、その
相関値のうちの最大値から初期ピッチを求め、次に入力
信号を用いてその初期ピッチを基にその近傍に相当する
相関値を求め、その最大値から精度の良いピッチ周期を
抽出するものであり、少ない演算量で、入力信号の全デ
ータを用いて演算した場合と同様な高精度のピッチ周期
を抽出することができる。[Detailed Description of the Invention] [Summary] A correlation value is determined from a signal sequence obtained by thinning out an input signal, an initial pitch is determined from the maximum value of the correlation values, and then an input signal is used to calculate a correlation value based on the initial pitch. The method calculates the correlation value corresponding to the vicinity of the correlation value, and extracts a highly accurate pitch period from the maximum value.It uses a small amount of calculations and can obtain the same high-precision pitch period as when calculating using all data of the input signal. Periods can be extracted.
本発明は、入力信号の自己相関値からそのピッチ周期を
抽出するピッチ周期抽出方式に関するものである。The present invention relates to a pitch period extraction method for extracting the pitch period of an input signal from its autocorrelation value.
音声信号の符号化処理、音声認識処理、或いは信号瞬断
を補間するピッチ周期補間受信方式等に於いては、音声
信号のピッチ周期を抽出することが必要となる。このよ
うなピッチ周期の抽出方式としては、自己相関が最大と
なる点を基にピッチ周期を求める自己相関方式や、絶対
値の和が最小となる点を基にピッチ周期を求めるＡＭＤ
Ｆ方式％式％
〔従来の技術〕
自己相関方式による従来のピッチ周期の抽出方式は、人
力信号の所定のフレーム毎に総ての相関を求め、最大相
関値を検索してピッチ周期を抽出する方式や、入力信号
を間引いた後に相関を求めて、その相関値について放物
補間等により所要の相関次数となるようにした後に、最
大相関値を検索してピッチ周期を抽出する方式等が知ら
れている。In audio signal encoding processing, speech recognition processing, pitch period interpolation reception methods for interpolating signal interruptions, etc., it is necessary to extract the pitch period of the audio signal. Such pitch period extraction methods include the autocorrelation method, which calculates the pitch period based on the point where the autocorrelation is maximum, and the AMD method, which calculates the pitch period based on the point where the sum of absolute values is the minimum.
F method % formula % [Prior art] The conventional pitch period extraction method using the autocorrelation method calculates all the correlations for each predetermined frame of the human signal, searches for the maximum correlation value, and extracts the pitch period. Some methods are known, such as methods that thin out the input signal, calculate the correlation, use parabolic interpolation, etc. to obtain the desired correlation order, and then search for the maximum correlation value to extract the pitch period. It is being
入力信号をそのまま用いて相関を求める従来の方式に於
いては、精度の良いピッチ周期を求めることができるの
で、ピッチ予測器等に適用することができるが、その反
面、演算量が厖大となる為、実時間処理の為のハードウ
ェア量が大きくなる欠点がある。In the conventional method of calculating correlation using the input signal as it is, it is possible to obtain a pitch period with high accuracy, so it can be applied to pitch predictors, etc. However, on the other hand, the amount of calculation is enormous. Therefore, there is a drawback that the amount of hardware for real-time processing becomes large.
一方、入力信号を間引いてから相関を求める従来の方式
に於いては、演算量を、例えば半減させることができる
から、実時間処理が可能となる。On the other hand, in the conventional method of determining the correlation after thinning out the input signal, the amount of calculation can be halved, for example, so that real-time processing becomes possible.
しかし、その反面、データ量が少ないので、精度の良い
ピッチ周期を抽出することが困難となり、前述のピッチ
予測器等には適用できない欠点がある。However, on the other hand, since the amount of data is small, it is difficult to extract a pitch period with high precision, and there is a drawback that it cannot be applied to the above-mentioned pitch predictor or the like.
本発明は、演算量が少なく且つ精度の良いピッチ周期の
抽出を可能とし、且つピッチ予測を行う場合の予測係数
算出に直接利用できる相関値を算出することを目的とす
るものである。SUMMARY OF THE INVENTION An object of the present invention is to enable extraction of a pitch period with a small amount of calculation and high accuracy, and to calculate a correlation value that can be directly used to calculate a prediction coefficient when performing pitch prediction.
本発明のピッチ周期抽出方式は、入力信号を間引いた信
号を用いて粗い精度で初期ピッチ周期を求めた後、入力
信号を用いて、初期ピッチ周期の近傍のみを再演算し、
精度の良いピッチ周期を求めるものであり、第１図を参
照して説明する。The pitch period extraction method of the present invention calculates the initial pitch period with rough accuracy using a signal obtained by thinning out the input signal, and then recalculates only the vicinity of the initial pitch period using the input signal.
This method is used to find a highly accurate pitch period, and will be explained with reference to FIG.
入力信号を所定間隔で間引いた信号について相関値を求
める第１の相関算出部１と、その相関算出部１によっ′
ζ求めた相関値を所要の次数となるように補間し、補間
された相関値のうちの最大相関値を検索する第１の最大
値検索部２と、この最大値検索部２によって得られた最
大相関値の前後に相当する相関値を入力信号について算
出する第２の相関算出部３と、この相関算出部３によっ
て算出された相関値のうちの最大相関値を検索する最大
値検索部４と、ピッチ補正部５とを備えて、このピッチ
補正部５に於いて、入力信号を間引いて少ない演算量で
求めた初期ピッチを、第２の最大値検索部４で検索され
た最大相関値を基に補正し、人力信号をそのまま用いて
ピッチ周期を抽出する場合と同様な精度のピッチ周期を
抽出するものである。A first correlation calculation unit 1 that calculates a correlation value for a signal obtained by thinning out an input signal at predetermined intervals;
ζ A first maximum value search unit 2 that interpolates the obtained correlation value to a required order and searches for the maximum correlation value among the interpolated correlation values, and A second correlation calculation unit 3 that calculates correlation values before and after the maximum correlation value for the input signal, and a maximum value search unit 4 that searches for the maximum correlation value among the correlation values calculated by this correlation calculation unit 3. and a pitch correction section 5, in which the initial pitch obtained by thinning out the input signal with a small amount of calculation is determined by the maximum correlation value searched by the second maximum value search section 4. This method extracts pitch periods with the same precision as when extracting pitch periods using human input signals as they are.
入力信号を例えばｌ／２に間引くことにより、相関値を
算出する演算量は半減することになり、相関算出部１の
構成が簡単化され且つ相関値を高速で求めることができ
る。このように間引きにより求めた初期ピッチの精度は
充分でないので、この初期ピッチの近傍に相当する入力
信号のみを用いて第２の相関算出部３で相関値を求め、
第２の最大値検索部４で最大相関値を検索することによ
り、少ない演算量で精度の高いピッチ周期を抽出するこ
とが可能となる。又ピッチ予測を行う場合に、予測係数
を算出する為の相関値を同時に求めることが可能となる
。By thinning the input signal to, for example, 1/2, the amount of calculation for calculating the correlation value is halved, the configuration of the correlation calculating section 1 is simplified, and the correlation value can be calculated at high speed. Since the accuracy of the initial pitch obtained by thinning out is not sufficient, the second correlation calculation unit 3 calculates the correlation value using only the input signal corresponding to the vicinity of this initial pitch.
By searching for the maximum correlation value with the second maximum value search unit 4, it becomes possible to extract a highly accurate pitch period with a small amount of calculation. Furthermore, when performing pitch prediction, it is possible to simultaneously obtain correlation values for calculating prediction coefficients.
以下図面を参照して本発明の実施例について詳細に説明
する。Embodiments of the present invention will be described in detail below with reference to the drawings.
第２図は本発明の実施例のブロック図であり、１１は低
域通過フィルタ、１２は間引部、１３は相関算出部、１
４は補間部、１５は最大値検索部、１６は相関算出部、
１７は最大値検索部、１８はピッチ補正部である。低域
通過フィルタ１１と間引部１２と相関算出部１３とによ
り、第１図に於ける第１の相関算出部１が構成され、又
捕間部１４ど最大値検索部１５とにより第１の最大値検
索部２が構成され、相関算出部１６により第２ （７）
相関算出部３、最大値検索部１７により第２の最大値検
索部４がそれぞれ構成されている。FIG. 2 is a block diagram of an embodiment of the present invention, in which 11 is a low-pass filter, 12 is a thinning section, 13 is a correlation calculation section, 1
4 is an interpolation unit, 15 is a maximum value search unit, 16 is a correlation calculation unit,
17 is a maximum value search section, and 18 is a pitch correction section. The low-pass filter 11, the thinning section 12, and the correlation calculating section 13 constitute the first correlation calculating section 1 in FIG. A maximum value search unit 2 is configured, and a correlation calculation unit 16 calculates the second (7)
The correlation calculation section 3 and the maximum value search section 17 constitute a second maximum value search section 4, respectively.
入力信号Ｘ、は低域通過フィルタ１１によって帯域制限
され、この低域通過フィルタ１１の出力信号は間引部１
２により、例えば、ｌ／２に間引かれる。この場合、低
域通過フィルタ１１のカットオフ周波数と、間引き間隔
とは、標本化定理を満足するように選定されるものであ
る。The input signal X, is band-limited by a low-pass filter 11, and the output signal of this low-pass filter 11
2, the data is thinned out to, for example, l/2. In this case, the cutoff frequency and thinning interval of the low-pass filter 11 are selected so as to satisfy the sampling theorem.
間引部１２の出力信号ｘ 、 ｌは相関算出部１３に
加えられて、次式に示す相関値ｃｒ、’が算出される。The output signals x, l of the thinning section 12 are added to the correlation calculation section 13, and a correlation value cr,' shown in the following equation is calculated.
この場合、間引きにより入力信号Ｘ、をそのまま用いる
場合に比較して、演算量が１／２以下となる。In this case, due to thinning, the amount of calculation becomes 1/2 or less compared to the case where the input signal X is used as is.
但し、ｉは相関次数、ｊはサンプル番号、Ｎ′は間引し
たデータのサンプルＢ（１フレーム内）を示す。Here, i is the correlation order, j is the sample number, and N' is the sample B (within one frame) of the thinned data.
この相関値ＣＩ、’は、入力信号Ｘ、のサンプリング数
に対して１／２になっているので、補間部１４に於いて
所要次数の相関値となるように放物補間等によって補間
処理を行う。そして、最大値検索部１５に於いて補間処
理された相関値のうちの最大値を検索し、この最大値を
与える相関次数を初期ピッチＩＰ’ｌとする。この初期
ピッチ■ＰＩは、間引処理、補間処理等の処理によって
発生ずる誤差を含むので、正確なピッチ周期が必要な場
合は不充分な精度のものである。Since this correlation value CI,' is 1/2 of the sampling number of the input signal conduct. Then, the maximum value search unit 15 searches for the maximum value among the interpolated correlation values, and the correlation order giving this maximum value is set as the initial pitch IP'l. This initial pitch ■PI includes errors caused by processing such as thinning processing and interpolation processing, and therefore has insufficient accuracy when an accurate pitch period is required.
この初期ピッチＩＰＩを基に、その前後の１〜４点程度
の相関値Ｃ８を式（２）により入力信号Ｘ。Based on this initial pitch IPI, correlation values C8 of about 1 to 4 points before and after the initial pitch IPI are obtained as an input signal X using equation (2).
を用いて相関算出部１６で算出する。The correlation calculation unit 16 calculates using .
但し、１＝（ＩＰＩ−Ｎ）〜（ＩＰＩ＋Ｎ）の範囲を示
す。However, the range of 1=(IPI-N) to (IPI+N) is shown.
最大値検索部１７は、この相関値Ｃ１の最大値を検索す
ることにより、初期ピッチＩＰＩを補正した精度の高い
ピッチ周期ＩＰを、ピッチ補正部１８から出力すること
ができる。By searching for the maximum value of the correlation value C1, the maximum value search unit 17 can output a highly accurate pitch period IP obtained by correcting the initial pitch IPI from the pitch correction unit 18.
第３図は動作説明図であり、（ａｌに於ける実線は相関
算出部１３によっ一ζ算出された相関値の一例を示し、
補間部１４によって点線で示すように、直線補間、放物
補間等による処理で補間されて、所要次数の相関値とな
る。この補間処理された相関値が最大値検索部１４に加
えられて最大相関値ＣＴ ｉ ＠ｘＸが検索される。検
索された最大相関値ＣＩ Ｈｆｆ１ａｘを与える相関次
数を初期ピッチＩＰＩとするものであり、又相関算出部
１６では、最大相関値Ｃ１ｉｍａｘの前後の数点ｎにつ
いての入力信号の相関値Ｃ３を求める。FIG. 3 is an explanatory diagram of the operation, (the solid line in al indicates an example of the correlation value calculated by the correlation calculation unit 13,
As shown by the dotted line, the interpolation unit 14 performs interpolation using linear interpolation, parabolic interpolation, etc., to obtain a correlation value of a required order. This interpolated correlation value is added to the maximum value search unit 14 to search for the maximum correlation value CT i @xX. The correlation order that gives the retrieved maximum correlation value CI Hff1ax is set as the initial pitch IPI, and the correlation calculation unit 16 calculates the correlation values C3 of the input signals at several points n before and after the maximum correlation value C1imax.
相関算出部１６からの相関値Ｃ８は、（ｂ）に示ずよう
に、最大相関値Ｃ１，、□８の前後の数点に相当するも
のとなり、最大値検索部１７で±ｎの相関値Ｃ１のうち
から、最大相関（１ｆｆｃ；ｍａｘを求める。この最大
相関値ＣｉＭａＸによって初期ピッチＩＰＩを補正し、
真のピッチ周期ＩＰを抽出するものである。As shown in (b), the correlation value C8 from the correlation calculation unit 16 corresponds to several points before and after the maximum correlation value C1, □8, and the maximum value search unit 17 calculates the correlation value of ±n. Find the maximum correlation (1ffc; max) from C1. Correct the initial pitch IPI by this maximum correlation value CiMaX,
This is to extract the true pitch period IP.
従って、間引き演算処理により演算けを少なくし、それ
によって求めた初期ピッチＩＰＩの近傍についてのみ入
力信号をそのまま用いて相関算出を行うものであるから
、その演算量は僅かで済むことになる。そして、入力信
号をそのまま用いて相関算出を行うことにより、精度の
良いピッチ周期の抽出と同時に、ピッチ予測係数を算出
する為の正確な相関値の算出が可能となる。Therefore, since the number of calculations is reduced by thinning calculation processing and the correlation calculation is performed using the input signal as it is only for the vicinity of the initial pitch IPI determined thereby, the amount of calculation is small. Then, by performing correlation calculation using the input signal as it is, it becomes possible to extract a pitch period with high precision and at the same time to calculate an accurate correlation value for calculating a pitch prediction coefficient.
又入力信号として、音声信号をそのまま用いる場合と、
冗長度を除去した残差信号を用いる場合とが考えられ、
前述の実施例は、何れの場合に対しても適用することが
できるものである。なお、後者の場合は、入力端子に線
形予測フィルタを設けることになる。又各部の機能は、
それぞれ集積回路化等によって実現することもできるが
、信号処理プロセッサ等による演算機能によって実現す
ることも可能である。In addition, when using the audio signal as it is as the input signal,
It is possible to use a residual signal with redundancy removed,
The embodiments described above can be applied to any case. Note that in the latter case, a linear prediction filter is provided at the input terminal. Also, the functions of each part are as follows.
Each of these can be realized by integrated circuits or the like, but it is also possible to realize them by the arithmetic function of a signal processing processor or the like.
以上説明したように、本発明は、第１の相関算出部１に
より入力信号を所定間隔で間引いて相関値を求め、第１
の最大値検索部２により補間された相関値のうちの最大
相関値を検索し、その最大相関値の前後に相当する数点
の相関値を入力信号を用いて第２の相関見出部３で算出
し、第２の最大値検索部４で最大相関値を検索し、この
最大相関値を基にピッチ周期を補正して出力するもので
あり、入力（Ｓ号を間引くことにより、演算■を少なく
して初期ピッチを高速で求めることができ、その最大相
関値の前後の数点に相当する入力信号をそのまま用いて
相関値及びその最大相関値を求めるから、僅かの演算量
の増加で精度の良いピッチ周期を抽出することが可能と
なる。従って、入力信号の全データを用いて精度の良い
ピッチ周期を抽出する従来例に比較して、それと同様な
高精度のピッチ周期を、はぼ２倍の速度で抽出すること
が可能となった。As explained above, the present invention thins out the input signal at predetermined intervals by the first correlation calculation unit 1 to obtain the correlation value, and
The maximum correlation value among the interpolated correlation values is searched by the maximum value search unit 2, and the correlation values of several points before and after the maximum correlation value are searched for by the second correlation finding unit 3 using the input signal. The second maximum value search unit 4 searches for the maximum correlation value, and based on this maximum correlation value, the pitch period is corrected and output. The initial pitch can be obtained quickly by reducing the amount of calculation, and the input signals corresponding to several points before and after the maximum correlation value are used as they are to obtain the correlation value and its maximum correlation value, so the amount of calculation is only slightly increased. It is possible to extract a pitch period with high accuracy. Therefore, compared to the conventional example which extracts a pitch period with high accuracy using all data of the input signal, it is possible to extract a pitch period with high accuracy. It is now possible to extract at almost twice the speed.
第１図は本発明の原理説明図、第２図は本発明の実施例
のブロック図、第３図は動作説明図である。
１は第１の用関工γ出部、２は第１の最大値検索部、３
は第２の相関算出部、４は第２の最大値検索部、５はピ
ッチ補正部、１１は低域通過フィルタ、１２は間引部、
１３は相関算出部、１４は捕間部、１５は最大値検索部
、１６は相関算出部、１７は最大値検索部、１８はピッ
チ補正部である。FIG. 1 is a diagram explaining the principle of the present invention, FIG. 2 is a block diagram of an embodiment of the present invention, and FIG. 3 is a diagram explaining the operation. 1 is the first utility gamma output section, 2 is the first maximum value search section, 3
1 is a second correlation calculation unit, 4 is a second maximum value search unit, 5 is a pitch correction unit, 11 is a low-pass filter, 12 is a thinning unit,
13 is a correlation calculation section, 14 is an interpolation section, 15 is a maximum value search section, 16 is a correlation calculation section, 17 is a maximum value search section, and 18 is a pitch correction section.
Claims (1)
る第１の相関算出部（１）と、 該第１の相関算出部（１）によって得られた相関値を補
間し、補間された相関値のうちの最大相関値を検索する
第１の最大値検索部（２）と、該第１の最大値検索部（
２）によって得られた最大相関値の前後に相当する数点
の前記入力信号を用いて相関を算出する第２の相関算出
部（３）と、 該第２の相関算出部（３）によって得られた相関値のう
ちの最大値を検索する第２の最大値検索部（４）と、 ピッチ補正部（５）とを備え、 該ピッチ補正部（５）に於いて、前記第１の最大値検索
部（２）からの最大相関値に基づく初期ピッチを、前記
第２の最大値検索部（４）から得られた最大相関値によ
って補正して、抽出ピッチ周期として出力する ことを特徴とするピッチ周期抽出方式。[Scope of Claims] A first correlation calculation unit (1) that calculates correlation for a signal obtained by thinning out an input signal at a predetermined interval; and a first correlation calculation unit (1) that interpolates the correlation value obtained by the first correlation calculation unit (1); a first maximum value search unit (2) that searches for the maximum correlation value among the interpolated correlation values;
a second correlation calculation unit (3) that calculates correlation using the input signals at several points before and after the maximum correlation value obtained in step 2); a second maximum value search unit (4) that searches for the maximum value among the correlation values obtained, and a pitch correction unit (5); The initial pitch based on the maximum correlation value from the value search unit (2) is corrected by the maximum correlation value obtained from the second maximum value search unit (4) and output as an extracted pitch period. pitch period extraction method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP61044085A JPS62203199A (en) | 1986-03-03 | 1986-03-03 | Pitch cycle extraction system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP61044085A JPS62203199A (en) | 1986-03-03 | 1986-03-03 | Pitch cycle extraction system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JPS62203199A true JPS62203199A (en) | 1987-09-07 |
Family
ID=12681778
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP61044085A Pending JPS62203199A (en) | 1986-03-03 | 1986-03-03 | Pitch cycle extraction system |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPS62203199A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001125600A (en) * | 1999-10-26 | 2001-05-11 | Sony Corp | Method and device for converting reproducing speed |
| JP2001249676A (en) * | 2000-03-06 | 2001-09-14 | Japan Science & Technology Corp | Method for extracting fundamental period or fundamental frequency of periodical waveform with added noise |
| JP2006220806A (en) * | 2005-02-09 | 2006-08-24 | Kobe Steel Ltd | Audio signal processor, audio signal processing program and audio signal processing method |
| JP2006293230A (en) * | 2005-04-14 | 2006-10-26 | Toshiba Corp | Device, program, and method for sound signal processing |
| WO2008001779A1 (en) * | 2006-06-27 | 2008-01-03 | National University Corporation Toyohashi University Of Technology | Reference frequency estimation method and acoustic signal estimation system |
| JP2009042573A (en) * | 2007-08-09 | 2009-02-26 | Yamaha Corp | Device for detecting fundamental period of voice and apparatus of performing speech rate conversion by using the fundamental period |
| JP2013238894A (en) * | 1999-04-19 | 2013-11-28 | At & T Corp | Apparatus for performing frame erasure concealment |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS5876891A (en) * | 1981-10-30 | 1983-05-10 | 株式会社日立製作所 | Audio pitch extraction method |
| JPS59143199A (en) * | 1983-02-04 | 1984-08-16 | オムロン株式会社 | Pitch extraction |
-
1986
- 1986-03-03 JP JP61044085A patent/JPS62203199A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS5876891A (en) * | 1981-10-30 | 1983-05-10 | 株式会社日立製作所 | Audio pitch extraction method |
| JPS59143199A (en) * | 1983-02-04 | 1984-08-16 | オムロン株式会社 | Pitch extraction |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013238894A (en) * | 1999-04-19 | 2013-11-28 | At & T Corp | Apparatus for performing frame erasure concealment |
| JP2001125600A (en) * | 1999-10-26 | 2001-05-11 | Sony Corp | Method and device for converting reproducing speed |
| JP4505899B2 (en) * | 1999-10-26 | 2010-07-21 | ソニー株式会社 | Playback speed conversion apparatus and method |
| JP2001249676A (en) * | 2000-03-06 | 2001-09-14 | Japan Science & Technology Corp | Method for extracting fundamental period or fundamental frequency of periodical waveform with added noise |
| JP2006220806A (en) * | 2005-02-09 | 2006-08-24 | Kobe Steel Ltd | Audio signal processor, audio signal processing program and audio signal processing method |
| JP2006293230A (en) * | 2005-04-14 | 2006-10-26 | Toshiba Corp | Device, program, and method for sound signal processing |
| JP4550652B2 (en) * | 2005-04-14 | 2010-09-22 | 株式会社東芝 | Acoustic signal processing apparatus, acoustic signal processing program, and acoustic signal processing method |
| US7870003B2 (en) | 2005-04-14 | 2011-01-11 | Kabushiki Kaisha Toshiba | Acoustical-signal processing apparatus, acoustical-signal processing method and computer program product for processing acoustical signals |
| WO2008001779A1 (en) * | 2006-06-27 | 2008-01-03 | National University Corporation Toyohashi University Of Technology | Reference frequency estimation method and acoustic signal estimation system |
| JP2009042573A (en) * | 2007-08-09 | 2009-02-26 | Yamaha Corp | Device for detecting fundamental period of voice and apparatus of performing speech rate conversion by using the fundamental period |
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