librosa.effects.trim¶

librosa.effects.trim(y, top_db=60, ref=<function amax>, frame_length=2048, hop_length=512)[source]¶

Trim leading and trailing silence from an audio signal.

Parameters:

y : np.ndarray, shape=(n,) or (2,n): Audio signal, can be mono or stereo
top_db : number > 0: The threshold (in decibels) below reference to consider as silence
ref : number or callable: The reference power. By default, it uses np.max and compares to the peak power in the signal.
frame_length : int > 0: The number of samples per analysis frame
hop_length : int > 0: The number of samples between analysis frames

Returns:

y_trimmed : np.ndarray, shape=(m,) or (2, m): The trimmed signal
index : np.ndarray, shape=(2,): the interval of y corresponding to the non-silent region: y_trimmed = y[index[0]:index[1]] (for mono) or y_trimmed = y[:, index[0]:index[1]] (for stereo).

Examples

>>> # Load some audio
>>> y, sr = librosa.load(librosa.util.example_audio_file())
>>> # Trim the beginning and ending silence
>>> yt, index = librosa.effects.trim(y)
>>> # Print the durations
>>> print(librosa.get_duration(y), librosa.get_duration(yt))
61.45886621315193 60.58086167800454