Update RESULTS.md. test=doc

Author: KPatr1ck

examples/iwslt2012/punc0/README.md

@@ -21,7 +21,7 @@
 The pretrained model can be downloaded here [ernie_linear_p3_iwslt2012_zh_ckpt_0.1.1.zip](https://paddlespeech.bj.bcebos.com/text/ernie_linear_p3_iwslt2012_zh_ckpt_0.1.1.zip).
 
 ### Test Result
-- Ernie Linear
+- Ernie
     |       |COMMA  |  PERIOD | QUESTION | OVERALL|
     |:-----:|:-----:|:-----:|:-----:|:-----:|  
     |Precision  |0.510955  |0.526462  |0.820755  |0.619391|

paddleaudio/paddleaudio/utils/numeric.py

@@ -0,0 +1,30 @@
+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import numpy as np
+
+
+def pcm16to32(audio: np.ndarray) -> np.ndarray:
+    """pcm int16 to float32
+
+    Args:
+        audio (np.ndarray): Waveform with dtype of int16.
+
+    Returns:
+        np.ndarray: Waveform with dtype of float32.
+    """
+    if audio.dtype == np.int16:
+        audio = audio.astype("float32")
+        bits = np.iinfo(np.int16).bits
+        audio = audio / (2**(bits - 1))
+    return audio