This module aims to perform speaker identification, speaker recognition and speaker diarization using Python, Flask, Keras and Librosa. Most of the parameters used along this module can be modified as desired in the config.py script including the host and the port where the service is going to be deployed.
...
...
@@ -225,3 +223,19 @@ In case of **errors** during the process, it will be indicated in the **"Status"
}
```
Where "e" will be the error information and "episode" the episode that was analyzed. The **Output** field is measured in **seconds**.
##License
Copyright 2020 Universidad Politécnica de Madrid
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
