使用librosa.effects.hpss将音频分为低于4000hz和高于4000hz的音频，参数该如何设置

使用 `librosa.effects.hpss` 函数的 `hpss()` 方法可以实现将音频分离为低频和高频部分。其中，参数 `y` 是输入的音频信号，参数 `sr` 是采样率，参数 `hop_length` 是帧长，参数 `n_fft` 是FFT窗口大小。

要将音频分为低于4000Hz和高于4000Hz的音频，可以使用以下代码：

import librosa

y, sr = librosa.load('audio.wav')
y_harmonic, y_percussive = librosa.effects.hpss(y, hop_length=512, n_fft=2048)
y_low = librosa.resample(y_harmonic, sr, 4000)
y_high = librosa.resample(y_percussive, sr, 4000)

其中，`y_harmonic` 和 `y_percussive` 分别是输入音频的谐波部分和打击乐部分，`librosa.resample()` 函数可以将音频重采样到指定的采样率。这里将它们重采样到了4000Hz，即低于4000Hz的音频部分。`y_high` 则是高于4000Hz的音频部分。

相关问题

python使用librosa.effects.hpss提取一定范围频率的音频

"librosa.effects.hpss" is a function in Librosa library used to perform harmonic-percussive source separation (HPSS) on an audio signal. It separates the harmonic components from the percussive components of the signal.

To extract a certain frequency range of the audio signal using "librosa.effects.hpss", you can first apply a bandpass filter to the signal to isolate the frequency range of interest. Then, you can pass the filtered signal to the "librosa.effects.hpss" function to perform the separation.

Here is an example code snippet that demonstrates this process:

import librosa

# Load audio file
audio_file = "path/to/audio/file.wav"
y, sr = librosa.load(audio_file)

# Define frequency range of interest
fmin = 100 # Minimum frequency
fmax = 1000 # Maximum frequency

# Apply bandpass filter to isolate frequency range
y_filtered = librosa.effects.bandpass(y, fmin=fmin, fmax=fmax)

# Perform harmonic-percussive source separation on filtered signal
y_harmonic, y_percussive = librosa.effects.hpss(y_filtered)

# Save separated components to audio files
librosa.output.write_wav("path/to/harmonic/file.wav", y_harmonic, sr)
librosa.output.write_wav("path/to/percussive/file.wav", y_percussive, sr)

In this example, we first load the audio file using "librosa.load". Then, we define the frequency range of interest using "fmin" and "fmax" variables. We apply a bandpass filter to the signal using "librosa.effects.bandpass" to isolate the frequency range. Finally, we pass the filtered signal to the "librosa.effects.hpss" function to perform the separation and save the separated components to audio files using "librosa.output.write_wav".

module 'librosa.effects' has no attribute 'bandpass'中文回答

“module 'librosa.effects' has no attribute 'bandpass'” 的错误提示意味着在使用 "librosa.effects.bandpass" 函数时出现了问题。

在 Librosa 库中，没有名为 "librosa.effects.bandpass" 的函数。因此，这可能是因为你试图使用不存在的函数而导致的错误。

如果你想在 Librosa 中实现带通滤波器，可以使用 "librosa.effects.harmonic" 和 "librosa.effects.percussive" 函数分别提取音频信号的谐波和打击乐成分，然后使用 "librosa.core.resample" 函数进行重采样以得到所需频率范围内的音频信号。

下面是一个示例代码片段，演示如何使用 Librosa 库进行带通滤波：

import librosa

# Load audio file
audio_file = "path/to/audio/file.wav"
y, sr = librosa.load(audio_file)

# Define frequency range of interest
fmin = 100 # Minimum frequency
fmax = 1000 # Maximum frequency

# Separate harmonic and percussive components
y_harmonic, y_percussive = librosa.effects.hpss(y)

# Resample components to frequency range of interest
y_harmonic = librosa.core.resample(y_harmonic, sr, sr*2)
y_percussive = librosa.core.resample(y_percussive, sr, sr*2)

# Apply bandpass filter to harmonic component
y_harmonic_filtered = librosa.effects.bandpass(y_harmonic, fmin=fmin, fmax=fmax)

# Combine filtered harmonic component and percussive component
y_filtered = y_harmonic_filtered + y_percussive

# Save filtered audio to file
librosa.output.write_wav("path/to/filtered/file.wav", y_filtered, sr)

在此示例中，我们首先使用 "librosa.load" 函数加载音频文件。然后，我们定义感兴趣的频率范围，并使用 "librosa.effects.hpss" 函数分离谐波和打击乐成分。接下来，我们使用 "librosa.core.resample" 函数将分离的成分重采样到所需的频率范围。然后，我们对谐波成分应用带通滤波器，使用 "+" 运算符将过滤后的谐波成分和打击乐成分组合在一起，最后使用 "librosa.output.write_wav" 函数将过滤后的音频保存到文件。