Fix typo in deep_speech (#4746)

* update

* update

* Update deep_speech.py

Author: haozha111

research/README.md

@@ -22,6 +22,7 @@ request.
     for visual navigation.
 -   [compression](compression): compressing and decompressing images using a
     pre-trained Residual GRU network.
+-   [deep_speech](deep_speech): automatic speech recognition.
 -   [deeplab](deeplab): deep labeling for semantic image segmentation.
 -   [delf](delf): deep local features for image matching and retrieval.
 -   [differential_privacy](differential_privacy): differential privacy for training

research/deep_speech/deep_speech.py

@@ -326,12 +326,12 @@ def define_deep_speech_flags():
   # Deep speech flags
   flags.DEFINE_string(
       name="train_data_dir",
-      default="/tmp/librispeech_data/test-clean/LibriSpeech/test-clean-20.csv",
+      default="/tmp/librispeech_data/train-clean/LibriSpeech/train-clean.csv",
       help=flags_core.help_wrap("The csv file path of train dataset."))
 
   flags.DEFINE_string(
       name="eval_data_dir",
-      default="/tmp/librispeech_data/test-clean/LibriSpeech/test-clean-20.csv",
+      default="/tmp/librispeech_data/dev-clean/LibriSpeech/dev-clean.csv",
       help=flags_core.help_wrap("The csv file path of evaluation dataset."))
 
   flags.DEFINE_bool(

research/deep_speech/deep_speech_model.py

@@ -60,7 +60,7 @@ def batch_norm(inputs, training):
 
 def _conv_bn_layer(inputs, padding, filters, kernel_size, strides, layer_id,
                    training):
-  """Defines 2D constitutional + batch normalization layer.
+  """Defines 2D convolutional + batch normalization layer.
 
   Args:
     inputs: input data for convolution layer.

research/deep_speech/requirements.txt

@@ -1,3 +1,4 @@
 nltk>=3.3
+pandas>=0.23.3
 soundfile>=0.10.2
 sox>=1.3.3