speech

# sachinpythonclass


'''
#Speech to txt from server
import  speech_recognition as sr
print(sr.__version__)
r=sr.Recognizer()
harvard = sr.AudioFile('01 Baarish - Half Girlfriend (Ash King) 190Kbps.mp3')
with harvard as source:
    audio = r.record(source)
    print(type(audio))
    print(r.recognize_google(audio,language='hi-HI'))
    print(r.recognize_google(audio))
'''
# MIcrophone Detection
#import pyaudio
import speech_recognition as sr
r= sr.Recognizer()
mic=sr.Microphone()
harvard = sr.Microphone.list_microphone_names()
for source in harvard:
    print(source)
    
# Recording!!
import pyaudio
import wave

CHUNK =1024
FORMAT = pyaudio.paInt16
CHANNELS = 2
RATE = 4100
RECORD_SECONDS = 5
WAVE_OUTPUT_FILENAME = 'output.wav'
p = pyaudio.PyAudio()
stream = p.open(format=FORMAT,
                channels=CHANNELS,
                rate=RATE,
                input =True,
                frames_per_buffer=CHUNK)
print("# recording")
frames=[]
for i in range(0, int(RATE/CHUNK * RECORD_SECONDS)):
    data = stream.read(CHUNK)
    frames.append(data)
print("* done recording")
stream.stop_stream()
stream.close()
p.terminate()

wf=wave.open(WAVE_OUTPUT_FILENAME,'wb')
wf.setnchannels(CHANNELS)
wf.setsampwidth(p.get_sample_size(FORMAT))
wf.setframerate(RATE)
wf.writeframes(b''.join(frames))
wf.close()