diff options
Diffstat (limited to 'python/pyarmnn/examples/speech_recognition/audio_utils.py')
-rw-r--r-- | python/pyarmnn/examples/speech_recognition/audio_utils.py | 15 |
1 files changed, 10 insertions, 5 deletions
diff --git a/python/pyarmnn/examples/speech_recognition/audio_utils.py b/python/pyarmnn/examples/speech_recognition/audio_utils.py index a522a0e2a7..f03d2e1290 100644 --- a/python/pyarmnn/examples/speech_recognition/audio_utils.py +++ b/python/pyarmnn/examples/speech_recognition/audio_utils.py @@ -17,7 +17,7 @@ def decode(model_output: np.ndarray, labels: dict) -> str: Returns: Decoded string. """ - top1_results = [labels[np.argmax(row[0])] for row in model_output] + top1_results = [labels[np.argmax(row)] for row in model_output] return filter_characters(top1_results) @@ -82,7 +82,7 @@ def decode_text(is_first_window, labels, output_result): Slices the text appropriately depending on the window, and decodes for wav2letter output. * First run, take the left context, and inner context. * Every other run, take the inner context. - Stores the current right context, and updates it for each inference. Will get used after last inference + Stores the current right context, and updates it for each inference. Will get used after last inference. Args: is_first_window: Boolean to show if it is the first window we are running inference on @@ -93,16 +93,21 @@ def decode_text(is_first_window, labels, output_result): current_r_context: the current right context text: the current text string, with the latest output decoded and appended """ + # For wav2letter with 148 output steps: + # Left context is index 0-48, inner context 49-99, right context 100-147 + inner_context_start = 49 + inner_context_end = 99 + right_context_start = 100 if is_first_window: # Since it's the first inference, keep the left context, and inner context, and decode - text = decode(output_result[0][0:472], labels) + text = decode(output_result[0][0][0][0:inner_context_end], labels) else: # Only decode the inner context - text = decode(output_result[0][49:472], labels) + text = decode(output_result[0][0][0][inner_context_start:inner_context_end], labels) # Store the right context, we will need it after the last inference - current_r_context = decode(output_result[0][473:521], labels) + current_r_context = decode(output_result[0][0][0][right_context_start:], labels) return current_r_context, text |