用科大讯飞API实现本地语音文件识别
今天看了下科大讯飞语音识别api，使用python对接口进行了调用。
科大讯飞在语音方面作得能够说不错的，接口调用也非常友好，能够对本地的语音文件进行识别测试，官方文档有不错的说明–语音转写API文档html
1.首先须要在科大讯飞平台注册一个帐号，进入控制台。
2.根据本身须要在选择语音识别一栏，建立一个应用。我选择的时语音转写—离线语音转写识别。
3.建立好应用后，在页面最下方，点击领取5小时免费试用体验包，期限是一个月。以下图
4.试用python的demo进行本地语音识别测试，python代码以下：
同时附上下载官方连接
说明：须要修改代码最后的AppID，SecretKey，还有填写本地的语音文件地址 file_path 。AppID，SecretKey在科大讯飞平台上建立好应用后就会给出。如图：
python
# -*- coding: utf-8 -*- # # 非实时转写调用demo import base64 import hashlib import hmac import json import os import time import requests lfasr_host = 'http://raasr.xfyun.cn/api' # 请求的接口名 api_prepare = '/prepare' api_upload = '/upload' api_merge = '/merge' api_get_progress = '/getProgress' api_get_result = '/getResult' # 文件分片大小10M file_piece_sice = 10485760 # ——————————————————转写可配置参数———————————————— # 参数可在官网界面（https://doc.xfyun.cn/rest_api/%E8%AF%AD%E9%9F%B3%E8%BD%AC%E5%86%99.html）查看，根据需求可自行在gene_params方法里添加修改 # 转写类型 lfasr_type = 0 # 是否开启分词 has_participle = 'false' has_seperate = 'true' # 多候选词个数 max_alternatives = 0 # 子用户标识 suid = '' class SliceIdGenerator: """slice id生成器""" def __init__(self): self.__ch = 'aaaaaaaaa`' def getNextSliceId(self): ch = self.__ch j = len(ch) - 1 while j >= 0: cj = ch[j] if cj != 'z': ch = ch[:j] + chr(ord(cj) + 1) + ch[j + 1:] break else: ch = ch[:j] + 'a' + ch[j + 1:] j = j - 1 self.__ch = ch return self.__ch class RequestApi(object): def __init__(self, appid, secret_key, upload_file_path): self.appid = appid self.secret_key = secret_key self.upload_file_path = upload_file_path # 根据不一样的apiname生成不一样的参数,本示例中未使用所有参数您可在官网(https://doc.xfyun.cn/rest_api/%E8%AF%AD%E9%9F%B3%E8%BD%AC%E5%86%99.html)查看后选择适合业务场景的进行更换 def gene_params(self, apiname, taskid=None, slice_id=None): appid = self.appid secret_key = self.secret_key upload_file_path = self.upload_file_path ts = str(int(time.time())) m2 = hashlib.md5() m2.update((appid + ts).encode('utf-8')) md5 = m2.hexdigest() md5 = bytes(md5, encoding='utf-8') # 以secret_key为key, 上面的md5为msg， 使用hashlib.sha1加密结果为signa signa = hmac.new(secret_key.encode('utf-8'), md5, hashlib.sha1).digest() signa = base64.b64encode(signa) signa = str(signa, 'utf-8') file_len = os.path.getsize(upload_file_path) file_name = os.path.basename(upload_file_path) param_dict = {} if apiname == api_prepare: # slice_num是指分片数量，若是您使用的音频都是较短音频也能够不分片，直接将slice_num指定为1便可 slice_num = int(file_len / file_piece_sice) + (0 if (file_len % file_piece_sice == 0) else 1) param_dict['app_id'] = appid param_dict['signa'] = signa param_dict['ts'] = ts param_dict['file_len'] = str(file_len) param_dict['file_name'] = file_name param_dict['slice_num'] = str(slice_num) elif apiname == api_upload: param_dict['app_id'] = appid param_dict['signa'] = signa param_dict['ts'] = ts param_dict['task_id'] = taskid param_dict['slice_id'] = slice_id elif apiname == api_merge: param_dict['app_id'] = appid param_dict['signa'] = signa param_dict['ts'] = ts param_dict['task_id'] = taskid param_dict['file_name'] = file_name elif apiname == api_get_progress or apiname == api_get_result: param_dict['app_id'] = appid param_dict['signa'] = signa param_dict['ts'] = ts param_dict['task_id'] = taskid return param_dict # 请求和结果解析，结果中各个字段的含义可参考：https://doc.xfyun.cn/rest_api/%E8%AF%AD%E9%9F%B3%E8%BD%AC%E5%86%99.html def gene_request(self, apiname, data, files=None, headers=None): response = requests.post(lfasr_host + apiname, data=data, files=files, headers=headers) result = json.loads(response.text) if result["ok"] == 0: print("{} success:".format(apiname) + str(result)) return result else: print("{} error:".format(apiname) + str(result)) exit(0) return result # 预处理 def prepare_request(self): return self.gene_request(apiname=api_prepare, data=self.gene_params(api_prepare)) # 上传 def upload_request(self, taskid, upload_file_path): file_object = open(upload_file_path, 'rb') try: index = 1 sig = SliceIdGenerator() while True: content = file_object.read(file_piece_sice) if not content or len(content) == 0: break files = { "filename": self.gene_params(api_upload).get("slice_id"), "content": content } response = self.gene_request(api_upload, data=self.gene_params(api_upload, taskid=taskid, slice_id=sig.getNextSliceId()), files=files) if response.get('ok') != 0: # 上传分片失败 print('upload slice fail, response: ' + str(response)) return False print('upload slice ' + str(index) + ' success') index += 1 finally: 'file index:' + str(file_object.tell()) file_object.close() return True # 合并 def merge_request(self, taskid): return self.gene_request(api_merge, data=self.gene_params(api_merge, taskid=taskid)) # 获取进度 def get_progress_request(self, taskid): return self.gene_request(api_get_progress, data=self.gene_params(api_get_progress, taskid=taskid)) # 获取结果 def get_result_request(self, taskid): return self.gene_request(api_get_result, data=self.gene_params(api_get_result, taskid=taskid)) def all_api_request(self): # 1. 预处理 pre_result = self.prepare_request() taskid = pre_result["data"] # 2 . 分片上传 self.upload_request(taskid=taskid, upload_file_path=self.upload_file_path) # 3 . 文件合并 self.merge_request(taskid=taskid) # 4 . 获取任务进度 while True: # 每隔20秒获取一次任务进度 progress = self.get_progress_request(taskid) progress_dic = progress if progress_dic['err_no'] != 0 and progress_dic['err_no'] != 26605: print('task error: ' + progress_dic['failed']) return else: data = progress_dic['data'] task_status = json.loads(data) if task_status['status'] == 9: print('task ' + taskid + ' finished') break print('The task ' + taskid + ' is in processing, task status: ' + str(data)) # 每次获取进度间隔20S time.sleep(20) # 5 . 获取结果 self.get_result_request(taskid=taskid) # 注意：若是出现requests模块报错："NoneType" object has no attribute 'read', 请尝试将requests模块更新到2.20.0或以上版本(本demo测试版本为2.20.0) # 输入讯飞开放平台的appid，secret_key和待转写的文件路径 if __name__ == '__main__': #api = RequestApi(appid="", secret_key="", upload_file_path=r"") APP_ID = "*****" SECRET_KEY = "****************" file_path = r"*******" #语音文件名，如.wav api = RequestApi(appid=APP_ID, secret_key=SECRET_KEY, upload_file_path=file_path) api.all_api_request()
运行结果以下：
5.运行代码遇到的问题：
出现requests模块报错：“NoneType” object has no attribute ‘read’，须要将requests模块更新到2.20.0或以上版本(本demo测试版本为2.20.0)。很简单，在PyCharm中，修改一下便可。
File–>Settings–> 如图找到requests模块，选择后再点击图中的箭头就能升级到最新版本了。
web
以上就是对科大讯飞的语音识别接口进行的简单调用的记录了。json