看一眼谷歌云语音API https://cloud.google.com/speech/使开发人员能够将音频转换为文本 [...] API 可识别 80 多种语言和变体 [...]
您可以创建一个免费帐户来获取有限数量的 API 请求。
HOW TO:
你需要先安装gcloud python 模块 http://googlecloudplatform.github.io/gcloud-python/#/ & 谷歌 API python 客户端 https://developers.google.com/api-client-library/python/start/installation模块：
pip install --upgrade gcloud
pip install --upgrade google-api-python-client
然后在云平台控制台中，进入项目页面，选择或创建一个新项目。当您需要为您的项目启用计费后，然后启用云语音API https://console.cloud.google.com/flows/enableapi?apiid=speech.googleapis.com.
启用 Google Cloud Speech API 后，单击“转到凭据”按钮以设置您的 Cloud Speech API 凭据
See 设置服务帐户 https://cloud.google.com/speech/docs/common/auth#set_up_a_service_account有关如何通过代码授权 Cloud Speech API 服务的信息
您应该获取服务帐户密钥文件（JSON 格式）和 GOOGLE_APPLICATION_CREDENTIALS 环境变量，以允许您对 Speech API 进行身份验证
全部完成后，下载音频原始文件 https://cloud.google.com/speech/docs/samples/audio.raw来自谷歌以及语音发现_google_rest_v1.json https://cloud.google.com/speech/docs/samples/speech-discovery_google_rest_v1.json来自谷歌
修改之前下载的 JSON 文件以设置您的凭据密钥
然后确保您已将 GOOGLE_APPLICATION_CREDENTIALS 环境变量设置为 .json 文件的完整路径：
export GOOGLE_APPLICATION_CREDENTIALS=/path/to/service_account_file.json
also
确保您已将 GCLOUD_PROJECT 环境变量设置为 Google Cloud 项目的 ID：
export GCLOUD_PROJECT=your-project-id
假设一切都完成了，您可以创建一个教程.py文件包含：
import argparse
import base64
import json
from googleapiclient import discovery
import httplib2
from oauth2client.client import GoogleCredentials
DISCOVERY_URL = ('https://{api}.googleapis.com/$discovery/rest?'
'version={apiVersion}')
def get_speech_service():
credentials = GoogleCredentials.get_application_default().create_scoped(
['https://www.googleapis.com/auth/cloud-platform'])
http = httplib2.Http()
credentials.authorize(http)
return discovery.build(
'speech', 'v1beta1', http=http, discoveryServiceUrl=DISCOVERY_URL)
def main(speech_file):
"""Transcribe the given audio file.
Args:
speech_file: the name of the audio file.
"""
with open(speech_file, 'rb') as speech:
speech_content = base64.b64encode(speech.read())
service = get_speech_service()
service_request = service.speech().syncrecognize(
body={
'config': {
'encoding': 'LINEAR16', # raw 16-bit signed LE samples
'sampleRate': 16000, # 16 khz
'languageCode': 'en-US', # a BCP-47 language tag
},
'audio': {
'content': speech_content.decode('UTF-8')
}
})
response = service_request.execute()
print(json.dumps(response))
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument(
'speech_file', help='Full path of audio file to be recognized')
args = parser.parse_args()
main(args.speech_file)
然后运行：
python tutorial.py audio.raw
