hertz is already per second (#21188)

src/transformers/feature_extraction_sequence_utils.py

@@ -34,7 +34,7 @@ class SequenceFeatureExtractor(FeatureExtractionMixin):
         feature_size (`int`):
             The feature dimension of the extracted features.
         sampling_rate (`int`):
-            The sampling rate at which the audio files should be digitalized expressed in Hertz per second (Hz).
+            The sampling rate at which the audio files should be digitalized expressed in hertz (Hz).
         padding_value (`float`):
             The value that is used to fill the padding values / vectors.
     """

src/transformers/models/audio_spectrogram_transformer/feature_extraction_audio_spectrogram_transformer.py

@@ -44,7 +44,7 @@ class ASTFeatureExtractor(SequenceFeatureExtractor):
         feature_size (`int`, *optional*, defaults to 1):
             The feature dimension of the extracted features.
         sampling_rate (`int`, *optional*, defaults to 16000):
-            The sampling rate at which the audio files should be digitalized expressed in Hertz per second (Hz).
+            The sampling rate at which the audio files should be digitalized expressed in hertz (Hz).
         num_mel_bins (`int`, *optional*, defaults to 128):
             Number of Mel-frequency bins.
         max_length (`int`, *optional*, defaults to 1024):

src/transformers/models/mctct/feature_extraction_mctct.py

@@ -53,7 +53,7 @@ class MCTCTFeatureExtractor(SequenceFeatureExtractor):
         feature_size (`int`, defaults to 80):
             The feature dimension of the extracted features. This is the number of mel_frequency
         sampling_rate (`int`, defaults to 16000):
-            The sampling rate at which the audio files should be digitalized expressed in Hertz per second (Hz).
+            The sampling rate at which the audio files should be digitalized expressed in hertz (Hz).
         padding_value (`float`, defaults to 0.0):
             The value that is used to fill the padding values.
         hop_length (`int`, defaults to 10):

src/transformers/models/speech_to_text/feature_extraction_speech_to_text.py

@@ -44,7 +44,7 @@ class Speech2TextFeatureExtractor(SequenceFeatureExtractor):
         feature_size (`int`, defaults to 80):
             The feature dimension of the extracted features.
         sampling_rate (`int`, defaults to 16000):
-            The sampling rate at which the audio files should be digitalized expressed in Hertz per second (Hz).
+            The sampling rate at which the audio files should be digitalized expressed in hertz (Hz).
         num_mel_bins (`int`, defaults to 80):
             Number of Mel-frequency bins.
         padding_value (`float`, defaults to 0.0):

src/transformers/models/wav2vec2/feature_extraction_wav2vec2.py

@@ -39,7 +39,7 @@ class Wav2Vec2FeatureExtractor(SequenceFeatureExtractor):
         feature_size (`int`, defaults to 1):
             The feature dimension of the extracted features.
         sampling_rate (`int`, defaults to 16000):
-            The sampling rate at which the audio files should be digitalized expressed in Hertz per second (Hz).
+            The sampling rate at which the audio files should be digitalized expressed in hertz (Hz).
         padding_value (`float`, defaults to 0.0):
             The value that is used to fill the padding values.
         do_normalize (`bool`, *optional*, defaults to `True`):

src/transformers/models/whisper/feature_extraction_whisper.py

@@ -43,7 +43,7 @@ class WhisperFeatureExtractor(SequenceFeatureExtractor):
         feature_size (`int`, defaults to 80):
             The feature dimension of the extracted features.
         sampling_rate (`int`, defaults to 16000):
-            The sampling rate at which the audio files should be digitalized expressed in Hertz per second (Hz).
+            The sampling rate at which the audio files should be digitalized expressed in hertz (Hz).
         hop_length (`int`, defaults to 160):
             Length of the overlaping windows for the STFT used to obtain the Mel Frequency coefficients.
         chunk_length (`int`, defaults to 30):