विभिन्न तरह के ऑडियो से निपटना

Python में Spoken Language Processing

Daniel Bourke

Machine Learning Engineer/YouTube Creator

कौन-सी भाषा?

# Create a recognizer class
recognizer = sr.Recognizer()

# Pass the Japanese audio to recognize_google
text = recognizer.recognize_google(japanese_good_morning, 
                                   language="en-US")

# Print the text
print(text)

Ohio gozaimasu

कौन-सी भाषा?

# Create a recognizer class
recognizer = sr.Recognizer()

# Pass the Japanese audio to recognize_google
text = recognizer.recognize_google(japanese_good_morning, 
                                   language="ja")

# Print the text
print(text)

おはようございます

नॉन-स्पीच ऑडियो

# Import the leopard roar audio file
leopard_roar = sr.AudioFile("leopard_roar.wav")

# Convert the AudioFile to AudioData
with leopard_roar as source:
    leopard_roar_audio = recognizer.record(source)

# Recognize the AudioData
recognizer.recognize_google(leopard_roar_audio)

UnknownValueError:

नॉन-स्पीच ऑडियो

# Import the leopard roar audio file
leopard_roar = sr.AudioFile("leopard_roar.wav")

# Convert the AudioFile to AudioData
with leopard_roar as source:
    leopard_roar_audio = recognizer.record(source)

# Recognize the AudioData with show_all turned on
recognizer.recognize_google(leopard_roar_audio,
                            show_all=True)

[]

सब दिखाएँ

# Recognizing Japanese audio with show_all=True
text = recognizer.recognize_google(japanese_good_morning, 
                                   language="en-US",
                                   show_all=True)
# Print the text
print(text)

{'alternative': [{'transcript': 'Ohio gozaimasu', 'confidence': 0.89041114},
  {'transcript': 'all hail gozaimasu'},
  {'transcript': 'ohayo gozaimasu'},
  {'transcript': 'olho gozaimasu'},
  {'transcript': 'all Hale gozaimasu'}],
 'final': True}

एक से अधिक स्पीकर

# Import an audio file with multiple speakers
multiple_speakers = sr.AudioFile("multiple-speakers.wav")

# Convert AudioFile to AudioData
with multiple_speakers as source:
    multiple_speakers_audio = recognizer.record(source)

# Recognize the AudioData
recognizer.recognize_google(multiple_speakers_audio)

one of the limitations of the speech recognition library is that it doesn't
recognise different speakers and voices it will just return it all as one block 
of text

एक से अधिक स्पीकर

# Import audio files separately
speakers = [sr.AudioFile("s0.wav"), sr.AudioFile("s1.wav"), sr.AudioFile("s2.wav")]

# Transcribe each speaker individually
for i, speaker in enumerate(speakers):
    with speaker as source:
        speaker_audio = recognizer.record(source)
    print(f"Text from speaker {i}: {recognizer.recognize_google(speaker_audio)}")

Text from speaker 0: one of the limitations of the speech recognition library
Text from speaker 1: is that it doesn't recognise different speakers and voices
Text from speaker 2: it will just return it all as one block a text

शोर वाला ऑडियो

अगर आपको भाषण सुनने में मुश्किल हो रही है, तो APIs को भी होगी

# Import audio file with background noise
noisy_support_call = sr.AudioFile("noisy_support_call.wav")

with noisy_support_call as source:
    # Adjust for ambient noise and record
    recognizer.adjust_for_ambient_noise(source,
                                        duration=0.5)
    noisy_support_call_audio = recognizer.record(source)

# Recognize the audio
recognizer.recognize_google(noisy_support_call_audio)

hello ID like to get some help setting up my calories

अभ्यास करते हैं!

Python में Spoken Language Processing