本文實(shí)例為大家分享了python調(diào)用百度語(yǔ)音REST API的具體代碼，供大家參考，具體內(nèi)容如下
（百度的rest接口的部分網(wǎng)址發(fā)生了一定的變化，相關(guān)代碼已更新）
百度通過(guò) REST API 的方式給開(kāi)發(fā)者提供一個(gè)通用的 HTTP 接口，基于該接口，開(kāi)發(fā)者可以輕松的獲得語(yǔ)音合成與語(yǔ)音識(shí)別能力。SDK中只提供了PHP、C和JAVA的相關(guān)樣例，使用python也可以靈活的對(duì)端口進(jìn)行調(diào)用，本文描述了簡(jiǎn)單使用Python調(diào)用百度語(yǔ)音識(shí)別服務(wù) REST API 的簡(jiǎn)單樣例。
1、語(yǔ)音識(shí)別與語(yǔ)音合成的調(diào)用
注冊(cè)開(kāi)發(fā)者帳號(hào)和創(chuàng)建應(yīng)用的過(guò)程就不再贅述，百度的REST API在調(diào)用過(guò)程基本分為三步：
- 獲取token
- 向Rest接口提交數(shù)據(jù)
- 處理返回?cái)?shù)據(jù)
具體代碼如下所示：
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#!/usr/bin/python3import urllib.requestimport urllibimport jsonimport base64class BaiduRest: def __init__(self, cu_id, api_key, api_secert): # token認(rèn)證的url self.token_url = "https://openapi.baidu.com/oauth/2.0/token?grant_type=client_credentials&client_id=%s&client_secret=%s" # 語(yǔ)音合成的resturl self.getvoice_url = "http://tsn.baidu.com/text2audio?tex=%s&lan=zh&cuid=%s&ctp=1&tok=%s" # 語(yǔ)音識(shí)別的resturl self.upvoice_url = 'http://vop.baidu.com/server_api' self.cu_id = cu_id self.getToken(api_key, api_secert) return def getToken(self, api_key, api_secert): # 1.獲取token token_url = self.token_url % (api_key,api_secert) r_str = urllib.request.urlopen(token_url).read() token_data = json.loads(r_str) self.token_str = token_data['access_token'] pass def getVoice(self, text, filename): # 2. 向Rest接口提交數(shù)據(jù) get_url = self.getvoice_url % (urllib.parse.quote(text), self.cu_id, self.token_str) voice_data = urllib.request.urlopen(get_url).read() # 3.處理返回?cái)?shù)據(jù) voice_fp = open(filename,'wb+') voice_fp.write(voice_data) voice_fp.close() pass def getText(self, filename): # 2. 向Rest接口提交數(shù)據(jù) data = {} # 語(yǔ)音的一些參數(shù) data['format'] = 'wav' data['rate'] = 8000 data['channel'] = 1 data['cuid'] = self.cu_id data['token'] = self.token_str wav_fp = open(filename,'rb') voice_data = wav_fp.read() data['len'] = len(voice_data) data['speech'] = base64.b64encode(voice_data).decode('utf-8') post_data = json.dumps(data) r_data = urllib.request.urlopen(self.upvoice_url,data=bytes(post_data,encoding="utf-8")).read() # 3.處理返回?cái)?shù)據(jù) return json.loads(r_data)['result']if __name__ == "__main__": # 我的api_key,供大家測(cè)試用，在實(shí)際工程中請(qǐng)換成自己申請(qǐng)的應(yīng)用的key和secert api_key = "SrhYKqzl3SE1URnAEuZ0FKdT" api_secert = "hGqeCkaMPb0ELMqtRGc2VjWdmjo7T89d" # 初始化 bdr = BaiduRest("test_python", api_key, api_secert) # 將字符串語(yǔ)音合成并保存為out.mp3 bdr.getVoice("你好北京郵電大學(xué)!", "out.mp3") # 識(shí)別test.wav語(yǔ)音內(nèi)容并顯示 print(bdr.getText("out.wav")) |
2、調(diào)用pyaudio使用麥克風(fēng)錄制聲音
python中的pyaudio庫(kù)可以直接通過(guò)麥克風(fēng)錄制聲音，可使用pip進(jìn)行安裝。我們可以通過(guò)調(diào)用該庫(kù)，獲取到wav測(cè)試語(yǔ)音。
具體代碼如下所示：
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#!/usr/bin/python3# -*- coding: utf-8 -*-from pyaudio import PyAudio, paInt16 import numpy as np from datetime import datetime import waveclass recoder: NUM_SAMPLES = 2000 #pyaudio內(nèi)置緩沖大小 SAMPLING_RATE = 8000 #取樣頻率 LEVEL = 500 #聲音保存的閾值 COUNT_NUM = 20 #NUM_SAMPLES個(gè)取樣之內(nèi)出現(xiàn)COUNT_NUM個(gè)大于LEVEL的取樣則記錄聲音 SAVE_LENGTH = 8 #聲音記錄的最小長(zhǎng)度：SAVE_LENGTH * NUM_SAMPLES 個(gè)取樣 TIME_COUNT = 60 #錄音時(shí)間，單位s Voice_String = [] def savewav(self,filename): wf = wave.open(filename, 'wb') wf.setnchannels(1) wf.setsampwidth(2) wf.setframerate(self.SAMPLING_RATE) wf.writeframes(np.array(self.Voice_String).tostring()) # wf.writeframes(self.Voice_String.decode()) wf.close() def recoder(self): pa = PyAudio() stream = pa.open(format=paInt16, channels=1, rate=self.SAMPLING_RATE, input=True, frames_per_buffer=self.NUM_SAMPLES) save_count = 0 save_buffer = [] time_count = self.TIME_COUNT while True: time_count -= 1 # print time_count # 讀入NUM_SAMPLES個(gè)取樣 string_audio_data = stream.read(self.NUM_SAMPLES) # 將讀入的數(shù)據(jù)轉(zhuǎn)換為數(shù)組 audio_data = np.fromstring(string_audio_data, dtype=np.short) # 計(jì)算大于LEVEL的取樣的個(gè)數(shù) large_sample_count = np.sum( audio_data > self.LEVEL ) print(np.max(audio_data)) # 如果個(gè)數(shù)大于COUNT_NUM，則至少保存SAVE_LENGTH個(gè)塊 if large_sample_count > self.COUNT_NUM: save_count = self.SAVE_LENGTH else: save_count -= 1 if save_count < 0: save_count = 0 if save_count > 0 : # 將要保存的數(shù)據(jù)存放到save_buffer中 #print save_count > 0 and time_count >0 save_buffer.append( string_audio_data ) else: #print save_buffer # 將save_buffer中的數(shù)據(jù)寫(xiě)入WAV文件，WAV文件的文件名是保存的時(shí)刻 #print "debug" if len(save_buffer) > 0 : self.Voice_String = save_buffer save_buffer = [] print("Recode a piece of voice successfully!") return True if time_count==0: if len(save_buffer)>0: self.Voice_String = save_buffer save_buffer = [] print("Recode a piece of voice successfully!") return True else: return Falseif __name__ == "__main__": r = recoder() r.recoder() r.savewav("test.wav") |
以上就是本文的全部?jī)?nèi)容，希望對(duì)大家的學(xué)習(xí)有所幫助，也希望大家多多支持服務(wù)器之家。
原文鏈接：https://blog.csdn.net/wolfblood_zzx/article/details/46418635
