Caution
You're reading the documentation for a development version. For the latest released version, please have a look at 0.9.1.
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)