49 lines
1.8 KiB
Python
49 lines
1.8 KiB
Python
from pydub import AudioSegment, silence
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import speech_recognition as sr
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import os
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# Lade die MP3-Datei und konvertiere sie zu WAV
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audio = AudioSegment.from_mp3("dreiWorte.mp3")
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audio = audio.set_channels(1).set_frame_rate(16000) # Mono & 16kHz für bessere Erkennung
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# Stille erkennen mit optimierten Werten
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silent_ranges = silence.detect_silence(audio, min_silence_len=200, silence_thresh=-45)
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silent_ranges = [(start, end) for start, end in silent_ranges if end - start > 200] # Kurze Pausen filtern
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# Wortsegmente bestimmen
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word_segments = []
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start = 0
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for silence_start, silence_end in silent_ranges:
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word_segments.append((start, silence_start))
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start = silence_end
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word_segments.append((start, len(audio))) # Letztes Wort hinzufügen
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# Sprach-Recognizer vorbereiten
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recognizer = sr.Recognizer()
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# Jedes Segment speichern und transkribieren
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for i, (start, end) in enumerate(word_segments):
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segment = audio[start:end]
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temp_file = f"temp_word_{i+1}.wav"
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print(temp_file)
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segment.export(temp_file, format="wav")
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word_text = ""
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# Spracherkennung durchführen
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with sr.AudioFile(temp_file) as source:
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audio_data = recognizer.record(source)
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try:
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word_text = recognizer.recognize_google(audio_data, language="sv-SV") # Schwedisch
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print("Erkanntes Wort:", word_text)
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except sr.UnknownValueError:
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print("Google konnte nichts erkennen.")
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except Exception as e:
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print(f"Fehler: {e}")
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#word_text = word_text.replace(" ", "_") # Leerzeichen durch Unterstrich ersetzen
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#final_file = f"{word_text}.wav"
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final_file = "1.wav"
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os.rename(temp_file, final_file)
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print(f"Wort {i+1}: {word_text} -> Gespeichert als {final_file}")
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print("Fertig! Alle Worte wurden gespeichert.") |