Menangani berbagai jenis audio

Pemrosesan Bahasa Lisan dengan Python

Daniel Bourke

Machine Learning Engineer/YouTube Creator

Bahasa apa?

# 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
Pemrosesan Bahasa Lisan dengan Python

Bahasa apa?

# 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
Pemrosesan Bahasa Lisan dengan Python

Audio non-ucapan

# 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:
Pemrosesan Bahasa Lisan dengan Python

Audio non-ucapan

# 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)
[]
Pemrosesan Bahasa Lisan dengan Python

Menampilkan semua

# 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}
Pemrosesan Bahasa Lisan dengan Python

Banyak penutur

# 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
Pemrosesan Bahasa Lisan dengan Python

Banyak penutur

# 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
Pemrosesan Bahasa Lisan dengan Python

Audio bising

  • Jika Anda kesulitan mendengar ucapan, API juga akan mengalaminya
# 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
Pemrosesan Bahasa Lisan dengan Python

Ayo berlatih!

Pemrosesan Bahasa Lisan dengan Python

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