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cut segments with sox and ignore files #333

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3 changes: 2 additions & 1 deletion analyze.py
Original file line number Diff line number Diff line change
Expand Up @@ -480,7 +480,8 @@ def analyzeFile(item):
print(f"Analyzing {fpath}", flush=True)

try:
fileLengthSeconds = int(audio.getAudioFileLength(fpath, cfg.SAMPLE_RATE))
fileLengthSeconds = (audio.getAudioFileLength(fpath, cfg.SAMPLE_RATE))
print(f"File length: {fileLengthSeconds} seconds", flush=True)
except Exception as ex:
# Write error log
print(f"Error: Cannot analyze audio file {fpath}. File corrupt?\n", flush=True)
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2 changes: 1 addition & 1 deletion config.py
Original file line number Diff line number Diff line change
Expand Up @@ -39,7 +39,7 @@

# Define minimum length of audio chunk for prediction,
# chunks shorter than 3 seconds will be padded with zeros
SIG_MINLEN: float = 1.0
SIG_MINLEN: float = 0.001

# Frequency range. This is model specific and should not be changed.
SIG_FMIN: int = 0
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2 changes: 1 addition & 1 deletion segments.py
Original file line number Diff line number Diff line change
Expand Up @@ -425,4 +425,4 @@ def extractSegments(item: tuple[tuple[str, list[dict]], float, dict[str]]):

# A few examples to test
# python3 segments.py --audio example/ --results example/ --o example/segments/
# python3 segments.py --audio example/ --results example/ --o example/segments/ --seg_length 5.0 --min_conf 0.1 --max_segments 100 --threads 4
# python3 segments.py --audio example/ --results example/ --o example/segments/ --seg_length 5.0 --min_conf 0.1 --max_segments 100 --threads 4