Caution

You're reading an old version of this documentation. If you want up-to-date information, please have a look at 0.10.2.

librosa.frames_to_time

librosa.frames_to_time(frames, *, sr=22050, hop_length=512, n_fft=None)[source]

Converts frame counts to time (seconds).

Parameters:

framesnp.ndarray [shape=(n,)]: frame index or vector of frame indices
srnumber > 0 [scalar]: audio sampling rate
hop_lengthint > 0 [scalar]: number of samples between successive frames
n_fftNone or int > 0 [scalar]: Optional: length of the FFT window. If given, time conversion will include an offset of n_fft // 2 to counteract windowing effects when using a non-centered STFT.

Returns:

timesnp.ndarray [shape=(n,)]

time (in seconds) of each given frame number:

times[i] = frames[i] * hop_length / sr

See also

time_to_frames: convert time values to frame indices
frames_to_samples: convert frame indices to sample indices

Examples

>>> y, sr = librosa.load(librosa.ex('choice'))
>>> tempo, beats = librosa.beat.beat_track(y=y, sr=sr)
>>> beat_times = librosa.frames_to_time(beats, sr=sr)