Example #1
0
def test_AllPoleLatticeDF(order):
    from pysptk.synthesis import AllPoleLatticeDF

    def __test_synthesis(filt):
        # dummy source excitation
        source = __dummy_source()

        hopsize = 80

        # dummy filter coef.
        windowed = __dummy_windowed_frames(source,
                                           frame_len=512,
                                           hopsize=hopsize)
        lpc = pysptk.lpc(windowed, filt.order)
        par = pysptk.lpc2par(lpc)

        # make sure par has loggain
        par[:, 0] = np.log(par[:, 0])

        # synthesis
        synthesizer = Synthesizer(filt, hopsize)
        y = synthesizer.synthesis(source, par)
        assert np.all(np.isfinite(y))

    __test_synthesis(AllPoleLatticeDF(order))
Example #2
0
 def __test(order):
     __test_synthesis(AllPoleLatticeDF(order))
Example #3
0
                            hop_length=HOP_LENGTH).astype(np.float64).T
frames *= pysptk.blackman(FRAME_LENGTH)  # 窓掛け（ブラックマン窓）

# ピッチ抽出
pitch = pysptk.swipe(x,
                     fs=fs,
                     hopsize=HOP_LENGTH,
                     min=MIN_F0,
                     max=MAX_F0,
                     otype="pitch")

# 励振源信号(声帯音源)の生成
source_excitation = pysptk.excite(pitch, HOP_LENGTH)

# 線形予測分析による線形予測符号化(LPC)係数の抽出
lpc = pysptk.lpc(frames, ORDER)
lpc[:, 0] = np.log(lpc[:, 0])

# LPC係数をPARCOR係数に変換
parcor = pysptk.lpc2par(lpc)

# 全極フィルタの作成
synthesizer = Synthesizer(AllPoleLatticeDF(order=ORDER), HOP_LENGTH)

# 励振源信号でフィルタを駆動して音声を合成
y = synthesizer.synthesis(source_excitation, parcor)

# 音声の書き込み
y = y.astype(np.int16)
wavfile.write(OUT_WAVE_FILE, fs, y)