Use keyword arguments for librosa.filters.mel in HiFiGAN unit test (#3185)

Summary:
In librosa 0.10 release, positional arguments are deprecated (see https://github.com/librosa/librosa/pull/1521 for details). The PR fixes the HiFiGAN unit test by using keyword arguments for `librosa.filters.mel` function.

Pull Request resolved: https://github.com/pytorch/audio/pull/3185

Reviewed By: mthrok

Differential Revision: D44218852

Pulled By: nateanl

fbshipit-source-id: 6171f7bec6a2144917697c1d640e701d95ec60d7

.circleci/unittest/linux/scripts/install.sh

@@ -71,7 +71,7 @@ fi
 # Note: installing librosa via pip fail because it will try to compile numba.
 (
     set -x
-    conda install -y -c conda-forge ${NUMBA_DEV_CHANNEL} 'librosa>=0.8.0' parameterized 'requests>=2.20'
+    conda install -y -c conda-forge ${NUMBA_DEV_CHANNEL} 'librosa==0.10.0' parameterized 'requests>=2.20'
     pip install kaldi-io SoundFile coverage pytest pytest-cov 'scipy==1.7.3' transformers expecttest unidecode inflect Pillow sentencepiece pytorch-lightning 'protobuf<4.21.0' demucs tinytag pyroomacoustics
 )
 # Install fairseq

.circleci/unittest/windows/scripts/install.sh

@@ -71,7 +71,7 @@ esac
 # Note: installing librosa via pip fail because it will try to compile numba.
 (
     set -x
-    conda install -y -c conda-forge ${NUMBA_DEV_CHANNEL} 'librosa>=0.8.0' parameterized 'requests>=2.20'
+    conda install -y -c conda-forge ${NUMBA_DEV_CHANNEL} 'librosa==0.10.0' parameterized 'requests>=2.20'
     # Need to disable shell check since this'll fail out if SENTENCEPIECE_DEPENDENCY is empty
     # shellcheck disable=SC2086
     pip install \

.github/workflows/unittest-linux-gpu.yml

@@ -60,7 +60,7 @@ jobs:
         USE_FFMPEG=1 python3 -m pip install -v -e . --no-use-pep517
 
         # Install test tools
-        conda install -y --quiet -c conda-forge -c numba/label/dev 'librosa>=0.8.0' parameterized 'requests>=2.20'
+        conda install -y --quiet -c conda-forge -c numba/label/dev 'librosa==0.10.0' parameterized 'requests>=2.20'
         python3 -m pip install --quiet kaldi-io SoundFile coverage pytest pytest-cov 'scipy==1.7.3' transformers expecttest unidecode inflect Pillow sentencepiece pytorch-lightning 'protobuf<4.21.0' demucs tinytag
         python3 -m pip install --quiet git+https://github.com/pytorch/fairseq.git@e47a4c8
 

docs/requirements-tutorials.txt

@@ -3,7 +3,7 @@ deep-phonemizer
 boto3
 cython
 pandas
-librosa
+librosa==0.10.0
 sentencepiece
 pandoc
 mir_eval

test/torchaudio_unittest/prototype/hifi_gan/original/meldataset.py

@@ -26,7 +26,7 @@ def mel_spectrogram(y, n_fft, num_mels, sampling_rate, hop_size, win_size, fmin,
 
     global mel_basis, hann_window
     if fmax not in mel_basis:
-        mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax)
+        mel = librosa_mel_fn(sr=sampling_rate, n_fft=n_fft, n_mels=num_mels, fmin=fmin, fmax=fmax)
         mel_basis[str(fmax) + "_" + str(y.device)] = torch.from_numpy(mel).float().to(y.device)
         hann_window[str(y.device)] = torch.hann_window(win_size).to(y.device)