Update hyperparameters

DeepSpeech.py

@@ -148,9 +148,9 @@ tf.app.flags.DEFINE_string  ('alphabet_config_path', 'data/alphabet.txt', 'path
 tf.app.flags.DEFINE_string  ('lm_binary_path',       'data/lm/lm.binary', 'path to the language model binary file created with KenLM')
 tf.app.flags.DEFINE_string  ('lm_trie_path',         'data/lm/trie', 'path to the language model trie file created with native_client/generate_trie')
 tf.app.flags.DEFINE_integer ('beam_width',        1024,       'beam width used in the CTC decoder when building candidate transcriptions')
-tf.app.flags.DEFINE_float   ('lm_weight',         2.15,       'the alpha hyperparameter of the CTC decoder. Language Model weight.')
+tf.app.flags.DEFINE_float   ('lm_weight',         1.75,       'the alpha hyperparameter of the CTC decoder. Language Model weight.')
-tf.app.flags.DEFINE_float   ('word_count_weight', -0.10,      'the beta hyperparameter of the CTC decoder. Word insertion weight (penalty).')
+tf.app.flags.DEFINE_float   ('word_count_weight', 1.00,      'the beta hyperparameter of the CTC decoder. Word insertion weight (penalty).')
-tf.app.flags.DEFINE_float   ('valid_word_count_weight', 1.10, 'valid word insertion weight. This is used to lessen the word insertion penalty when the inserted word is part of the vocabulary.')
+tf.app.flags.DEFINE_float   ('valid_word_count_weight', 1.00, 'valid word insertion weight. This is used to lessen the word insertion penalty when the inserted word is part of the vocabulary.')
 
 # Inference mode
 

native_client/client.cc

@@ -13,9 +13,9 @@
 #define N_CEP 26
 #define N_CONTEXT 9
 #define BEAM_WIDTH 500
-#define LM_WEIGHT 2.15f
+#define LM_WEIGHT 1.75f
-#define WORD_COUNT_WEIGHT -0.10f
+#define WORD_COUNT_WEIGHT 1.00f
-#define VALID_WORD_COUNT_WEIGHT 1.10f
+#define VALID_WORD_COUNT_WEIGHT 1.00f
 
 using namespace DeepSpeech;
 

native_client/client.js

@@ -10,14 +10,14 @@ const MemoryStream = require('memory-stream');
 const BEAM_WIDTH = 500;
 
 // The alpha hyperparameter of the CTC decoder. Language Model weight
-const LM_WEIGHT = 2.15;
+const LM_WEIGHT = 1.75;
 
 // The beta hyperparameter of the CTC decoder. Word insertion weight (penalty)
-const WORD_COUNT_WEIGHT = -0.10;
+const WORD_COUNT_WEIGHT = 1.00;
 
 // Valid word insertion weight. This is used to lessen the word insertion penalty
 // when the inserted word is part of the vocabulary
-const VALID_WORD_COUNT_WEIGHT = 1.10;
+const VALID_WORD_COUNT_WEIGHT = 1.00;
 
 
 // These constants are tied to the shape of the graph used (changing them changes

native_client/client.py

@@ -14,14 +14,14 @@ from deepspeech.model import Model
 BEAM_WIDTH = 500
 
 # The alpha hyperparameter of the CTC decoder. Language Model weight
-LM_WEIGHT = 2.15
+LM_WEIGHT = 1.75
 
 # The beta hyperparameter of the CTC decoder. Word insertion weight (penalty)
-WORD_COUNT_WEIGHT = -0.10
+WORD_COUNT_WEIGHT = 1.00
 
 # Valid word insertion weight. This is used to lessen the word insertion penalty
 # when the inserted word is part of the vocabulary
-VALID_WORD_COUNT_WEIGHT = 1.10
+VALID_WORD_COUNT_WEIGHT = 1.00
 
 
 # These constants are tied to the shape of the graph used (changing them changes