[DOC] Add missing modules and minor fixes

docs/source/datasets.rst

@@ -2,7 +2,7 @@ torchaudio.datasets
 ====================
 
 All datasets are subclasses of :class:`torch.utils.data.Dataset`
-i.e, they have ``__getitem__`` and ``__len__`` methods implemented.
+and have ``__getitem__`` and ``__len__`` methods implemented.
 Hence, they can all be passed to a :class:`torch.utils.data.DataLoader`
 which can load multiple samples parallelly using ``torch.multiprocessing`` workers.
 For example: ::

docs/source/functional.rst

@@ -124,11 +124,21 @@ vad
 
 .. autofunction:: spectrogram
 
+:hidden:`griffinlim`
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. autofunction:: griffinlim
+
 :hidden:`amplitude_to_DB`
 ~~~~~~~~~~~~~~~~~~~~~~~~~
 
 .. autofunction:: amplitude_to_DB
 
+:hidden:`DB_to_amplitude`
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. autofunction:: DB_to_amplitude
+
 :hidden:`create_fb_matrix`
 ~~~~~~~~~~~~~~~~~~~~~~~~~~
 

torchaudio/functional/filtering.py

@@ -1006,7 +1006,8 @@ def phaser(
 
     References:
         http://sox.sourceforge.net/sox.html
-        Scott Lehman, Effects Explained, http://harmony-central.com/Effects/effects-explained.html
+        Scott Lehman, Effects Explained,
+        https://web.archive.org/web/20051125072557/http://www.harmony-central.com/Effects/effects-explained.html
     """
     actual_shape = waveform.shape
     device, dtype = waveform.device, waveform.dtype

torchaudio/functional/functional.py

@@ -102,16 +102,14 @@ def griffinlim(
     r"""Compute waveform from a linear scale magnitude spectrogram using the Griffin-Lim transformation.
         Implementation ported from `librosa`.
 
-    .. [1] McFee, Brian, Colin Raffel, Dawen Liang, Daniel PW Ellis, Matt McVicar, Eric Battenberg, and Oriol Nieto.
+    *  [1] McFee, Brian, Colin Raffel, Dawen Liang, Daniel PW Ellis, Matt McVicar, Eric Battenberg, and Oriol Nieto.
         "librosa: Audio and music signal analysis in python."
         In Proceedings of the 14th python in science conference, pp. 18-25. 2015.
-
-    .. [2] Perraudin, N., Balazs, P., & Søndergaard, P. L.
+    *  [2] Perraudin, N., Balazs, P., & Søndergaard, P. L.
         "A fast Griffin-Lim algorithm,"
         IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (pp. 1-4),
         Oct. 2013.
-
-    .. [3] D. W. Griffin and J. S. Lim,
+    *  [3] D. W. Griffin and J. S. Lim,
         "Signal estimation from modified short-time Fourier transform,"
         IEEE Trans. ASSP, vol.32, no.2, pp.236–243, Apr. 1984.
 

torchaudio/sox_effects/sox_effects.py

@@ -223,10 +223,9 @@ def apply_effects_file(
         ...         super().__init__()
         ...         self.flist = flist
         ...         self.sample_rate = sample_rate
-        ...         self.rng = None
         ...
         ...     def __getitem__(self, index):
-        ...         speed = self.rng.uniform(0.5, 2.0)
+        ...         speed = 0.5 + 1.5 * torch.rand()
         ...         effects = [
         ...             ['gain', '-n', '-10'],  # apply 10 db attenuation
         ...             ['remix', '-'],  # merge all the channels

torchaudio/utils/sox_utils.py

@@ -26,10 +26,11 @@ def set_verbosity(verbosity: int):
 
     Args:
         verbosity (int): Set verbosity level of libsox.
-            1: failure messages
-            2: warnings
-            3: details of processing
-            4-6: increasing levels of debug messages
+
+            * ``1`` failure messages
+            * ``2`` warnings
+            * ``3`` details of processing
+            * ``4``-``6`` increasing levels of debug messages
 
     See Also:
         http://sox.sourceforge.net/sox.html