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.

Utilities

Array operations

frame(x, *, frame_length, hop_length[, ...])	Slice a data array into (overlapping) frames.
pad_center(data, *, size[, axis])	Pad an array to a target length along a target axis.
expand_to(x, *, ndim, axes)	Expand the dimensions of an input array with
fix_length(data, *, size[, axis])	Fix the length an array data to exactly size along a target axis.
fix_frames(frames, *[, x_min, x_max, pad])	Fix a list of frames to lie within [x_min, x_max]
index_to_slice(idx, *[, idx_min, idx_max, ...])	Generate a slice array from an index array.
softmask(X, X_ref, *[, power, split_zeros])	Robustly compute a soft-mask operation.
stack(arrays, *[, axis])	Stack one or more arrays along a target axis.
sync(data, idx, *[, aggregate, pad, axis])	Synchronous aggregation of a multi-dimensional array between boundaries
axis_sort(S, *[, axis, index, value])	Sort an array along its rows or columns.
normalize(S, *[, norm, axis, threshold, fill])	Normalize an array along a chosen axis.
shear(X, *[, factor, axis])	Shear a matrix by a given factor.
sparsify_rows(x, *[, quantile, dtype])	Return a row-sparse matrix approximating the input
buf_to_float(x, *[, n_bytes, dtype])	Convert an integer buffer to floating point values.
tiny(x)	Compute the tiny-value corresponding to an input's data type.

Matching

match_intervals(intervals_from, intervals_to)	Match one set of time intervals to another.
match_events(events_from, events_to[, left, ...])	Match one set of events to another.

Miscellaneous

localmax(x, *[, axis])	Find local maxima in an array
localmin(x, *[, axis])	Find local minima in an array
peak_pick(x, *, pre_max, post_max, pre_avg, ...)	Uses a flexible heuristic to pick peaks in a signal.
nnls(A, B, **kwargs)	Non-negative least squares.
cyclic_gradient(data, *[, edge_order, axis])	Estimate the gradient of a function over a uniformly sampled, periodic domain.
dtype_c2r(d, *[, default])	Find the real numpy dtype corresponding to a complex dtype.
dtype_r2c(d, *[, default])	Find the complex numpy dtype corresponding to a real dtype.
count_unique(data, *[, axis])	Count the number of unique values in a multi-dimensional array along a given axis.
is_unique(data, *[, axis])	Determine if the input array consists of all unique values along a given axis.

Input validation

valid_audio(y, *[, mono])	Determine whether a variable contains valid audio data.
valid_int(x, *[, cast])	Ensure that an input value is integer-typed.
valid_intervals(intervals)	Ensure that an array is a valid representation of time intervals:

File operations

example(key, *[, hq])	Retrieve the example recording identified by 'key'.
example_info(key)	Display licensing and metadata information for the given example recording.
list_examples()	List the available audio recordings included with librosa.
find_files(directory, *[, ext, recurse, ...])	Get a sorted list of (audio) files in a directory or directory sub-tree.