add deprecation warning

src/transformers/models/speecht5/feature_extraction_speecht5.py

@@ -18,6 +18,7 @@
 
 import numpy as np
 import torch
+import warnings
 
 from ...audio_utils import get_mel_filter_banks
 from ...feature_extraction_sequence_utils import SequenceFeatureExtractor
@@ -59,12 +60,16 @@ class SpeechT5FeatureExtractor(SequenceFeatureExtractor):
             Number of ms per window.
         win_function (`str`, *optional*, defaults to `"hann_window"`):
             Name for the window function used for windowing, must be accessible via `torch.{win_function}`
+        frame_signal_scale (`float`, *optional*, defaults to 1.0):
+            Constant multiplied in creating the frames before applying DFT. This argument is deprecated.
         fmin (`float`, *optional*, defaults to 80):
             Minimum mel frequency in Hz.
         fmax (`float`, *optional*, defaults to 7600):
             Maximum mel frequency in Hz.
         mel_floor (`float`, *optional*, defaults to 1e-10):
             Minimum value of mel frequency banks.
+        reduction_factor (`int`, *optional*, defaults to 2):
+            Spectrogram length reduction factor. This argument is deprecated.
         return_attention_mask (`bool`, *optional*, defaults to `True`):
             Whether or not [`~SpeechT5FeatureExtractor.__call__`] should return `attention_mask`.
     """
@@ -81,9 +86,11 @@ def __init__(
         hop_length: int = 16,
         win_length: int = 64,
         win_function: str = "hann_window",
+        frame_signal_scale: float = 1.0,
         fmin: float = 80,
         fmax: float = 7600,
         mel_floor: float = 1e-10,
+        reduction_factor: int = 2,
         return_attention_mask: bool = True,
         **kwargs,
     ):
@@ -95,9 +102,11 @@ def __init__(
         self.hop_length = hop_length
         self.win_length = win_length
         self.win_function = win_function
+        self.frame_signal_scale = frame_signal_scale
         self.fmin = fmin
         self.fmax = fmax
         self.mel_floor = mel_floor
+        self.reduction_factor = reduction_factor
 
         self.sample_size = win_length * sampling_rate // 1000
         self.sample_stride = hop_length * sampling_rate // 1000
@@ -117,6 +126,15 @@ def __init__(
             mel_scale="slaney",
         )
 
+        if frame_signal_scale != 1.0:
+            warnings.warn(
+                "The argument `frame_signal_scale` is deprecated and will be removed in a future version of Transformers", FutureWarning
+            )
+        if reduction_factor != 2.0:
+            warnings.warn(
+                "The argument `reduction_factor` is deprecated and will be removed in a future version of Transformers", FutureWarning
+            )
+
     @staticmethod
     # Copied from transformers.models.wav2vec2.feature_extraction_wav2vec2.Wav2Vec2FeatureExtractor.zero_mean_unit_var_norm
     def zero_mean_unit_var_norm(