def decode_experiment():
foldername = request.form['data']
try:
words = quail.decode_speech(
path='audio/' + foldername + '/',
keypath='google-credentials/credentials.json',
save=True,
speech_context=speech_context)
resp = {"audioDecoded": "success"}
except:
print('Error decoding audio.')
traceback.print_exc()
resp = {"audioDecoded": "failed"}
return jsonify(**resp)
# -*- coding: utf-8 -*-
"""
=============================
Decode speech
=============================
This example plots free recall accuracy for a single subject.
"""
# Code source: Andrew Heusser
# License: MIT
#import
import quail
# decode speech
recall_data = quail.decode_speech('../data/sample.wav', save=True)
# print results
print(recall_data)
# -*- coding: utf-8 -*-
"""
=============================
Decode speech
=============================
This example plots free recall accuracy for a single subject.
"""
# Code source: Andrew Heusser
# License: MIT
#import
import quail
# decode speech
recall_data = quail.decode_speech('../data/sample.wav',
save=True,
speech_context=['DONKEY', 'PETUNIA'])
# print results
print(recall_data)
# -*- coding: utf-8 -*-
"""
=============================
Decode speech
=============================
This example plots free recall accuracy for a single subject.
"""
# Code source: Andrew Heusser
# License: MIT
#import
import quail
# decode speech
recall_data = quail.decode_speech('../data/sample.wav',
save=True,
speech_context=['DONKEY', 'PETUNIA'],
keypath='path/to/key.json')
# print results
print(recall_data)
# -*- coding: utf-8 -*-
"""
=============================
Decode speech
=============================
This example plots free recall accuracy for a single subject.
"""
# Code source: Andrew Heusser
# License: MIT
#import
import quail
# decode speech
recall_data = quail.decode_speech(
'../data/sample.wav',
save=True,
speech_context=['DONKEY', 'PETUNIA'],
keypath=
'/Users/andyheusser/Documents/cdl/credentials/efficient-learning-553bf474f805.json'
)
# print results
print(recall_data)