Pemrosesan Bahasa Lisan dengan Python
Daniel Bourke
Machine Learning Engineer/YouTube Creator
from pydub import AudioSegment # Impor file audio wav_file = AudioSegment.from_file("wav_file.wav")# Tambah 10 desibel louder_wav_file = wav_file + 10# Ekspor file audio yang lebih keras louder_wav_file.export(out_f="louder_wav_file.wav", format="wav")
<_io.BufferedRandom name='louder_wav_file.wav'>
def make_wav(wrong_folder_path, right_folder_path):# Ulangi file yang formatnya salah for file in os.scandir(wrong_folder_path):# Hanya proses file dengan ekstensi audio yang akan diperbaiki if file.path.endswith(".mp3") or file.path.endswith(".flac"):# Buat nama file .wav baru out_file = right_folder_path + os.path.splitext(os.path.basename(file.path))[0] + ".wav"# Baca file audio dan ekspor ke format wav AudioSegment.from_file(file.path).export(out_file, format="wav")print(f"Creating {out_file}")
# Panggil fungsi baru kita
make_wav("data/wrong_formats/", "data/right_format/")
Creating data/right_types/wav_file.wav
Creating data/right_types/flac_file.wav
Creating data/right_types/mp3_file.wav
def make_no_static_louder(static_quiet, louder_no_static): # Ulangi file dengan noise dan pelan (sudah format wav) for file in os.scandir(static_quiet_folder_path):# Buat path file baru out_file = louder_no_static + os.path.splitext(os.path.basename(file.path))[0] + ".wav"# Baca file audio audio_file = AudioSegment.from_file(file.path)# Hapus 3 detik pertama, tambah 10 desibel, lalu ekspor audio_file = (audio_file[3100:] + 10).export(out_file, format="wav") print(f"Creating {out_file}")
# Hapus noise dan buat lebih keras
make_no_static_louder("data/static_quiet/", "data/louder_no_static/")
Creating data/louder_no_static/speech-recognition-services.wav
Creating data/louder_no_static/order-issue.wav
Creating data/louder_no_static/help-with-acount.wav
Pemrosesan Bahasa Lisan dengan Python