fix typos (#156)

madmom/audio/stft.py

@@ -398,7 +398,7 @@ def add_arguments(parser, window=None, fft_size=None):
 
         Returns
         -------
-        argpase argument group
+        argparse argument group
             STFT argument parser group.
 
         Notes

madmom/features/beats.py

@@ -1123,7 +1123,7 @@ def process(self, activations):
                 for left, right in idx.reshape((-1, 2)):
                     # pick the frame with the highest activations value
                     # Note: we look for both beats and non-beat activations;
-                    #       since np.argmax wokrs on the flattened array, we
+                    #       since np.argmax works on the flattened array, we
                     #       need to divide by 2
                     peak = np.argmax(activations[left:right, 1:3]) // 2 + left
                     beats = np.hstack((beats, peak))

madmom/features/beats_hmm.py

@@ -223,7 +223,7 @@ def exponential_transition(from_intervals, to_intervals, transition_lambda,
     from_intervals : numpy array
         Intervals where the transitions originate from.
     to_intervals :  : numpy array
-        Intervals where the transitions destinate to.
+        Intervals where the transitions terminate.
     transition_lambda : float
         Lambda for the exponential tempo change distribution (higher values
         prefer a constant tempo from one beat/bar to the next one). If None,
@@ -581,7 +581,7 @@ class GMMPatternTrackingObservationModel(ObservationModel):
     pattern_files : list
         List with files representing the rhythmic patterns, one entry per
         pattern; each pattern being a list with fitted GMMs.
-    state_space : :class:`MultiPatternStateSpeac` instance
+    state_space : :class:`MultiPatternStateSpace` instance
         Multi pattern state space.
 
     References
@@ -629,7 +629,7 @@ def log_densities(self, observations):
         Parameters
         ----------
         observations : numpy array
-            Observations (i.e. multiband spectral flux features).
+            Observations (i.e. multi-band spectral flux features).
 
         Returns
         -------

madmom/features/chords.py

@@ -47,7 +47,7 @@ def pred_to_cl(pred):
     spf = 1. / fps
     labels = [(i * spf, pred_to_cl(p)) for i, p in enumerate(targets)]
 
-    # join same consequtive predictions
+    # join same consecutive predictions
     prev_label = (None, None)
     uniq_labels = []
 

madmom/ml/hmm.pyx

@@ -539,7 +539,7 @@ class HiddenMarkovModel(object):
         cdef unsigned int obs_start, obs_end, frame, block_sz
         cdef double prob_sum, norm_factor
 
-        # keep track which observations om_densitites currently contains
+        # keep track which observations om_densities currently contains
         # obs_start is the first observation index, obs_end the last one
         obs_start = 0
         obs_end = 0
@@ -563,7 +563,7 @@ class HiddenMarkovModel(object):
 
             # iterate over all states
             for state in range(num_states):
-                # sum ober all possible predecessors
+                # sum over all possible predecessors
                 for prev_pointer in range(tm_ptrs[state], tm_ptrs[state + 1]):
                     fwd_cur[state] += fwd_prev[tm_states[prev_pointer]] * \
                                       tm_probabilities[prev_pointer]

madmom/utils/__init__.py

@@ -130,7 +130,7 @@ def search_path(path, recursion_depth=0):
         # add all files of this directory to the list
         for f in files:
             file_list.append(os.path.join(root, f))
-        # remove all subdirs exceeding the wanted recursion depth
+        # remove all sub directories exceeding the wanted recursion depth
         if initial_depth + recursion_depth <= root.count(os.path.sep):
             del dirs[:]
     # return the sorted file list

tests/test_bin.py

@@ -525,7 +525,7 @@ def setUp(self):
         self.activations = Activations(
             "%s/stereo_sample.notes_brnn.npz" % ACTIVATIONS_PATH)
         self.result = np.loadtxt(
-            "%s/stereo_sample.pianot_ranscriptor.txt" % DETECTIONS_PATH)
+            "%s/stereo_sample.piano_transcriptor.txt" % DETECTIONS_PATH)
 
     def test_help(self):
         self.assertTrue(run_help(self.bin))

tests/test_utils.py

@@ -63,7 +63,7 @@
                    DETECTIONS_PATH + 'sample.super_flux.txt',
                    DETECTIONS_PATH + 'sample.super_flux_nn.txt',
                    DETECTIONS_PATH + 'sample.tempo_detector.txt',
-                   DETECTIONS_PATH + 'stereo_sample.pianot_ranscriptor.txt']
+                   DETECTIONS_PATH + 'stereo_sample.piano_transcriptor.txt']
 
 EVENTS = [1, 1.02, 1.5, 2.0, 2.03, 2.05, 2.5, 3]