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ii-sound
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Look ahead beyond the EOF opcodes for better prediction quality 

Normalize based on 100th percentile
This commit is contained in:
kris 2022-06-21 21:33:19 +01:00
parent a48e7b796c
commit cb5de62cc8
1 changed files with 10 additions and 6 deletions
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16
encode_audio.py
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@ -126,7 +126,6 @@ def audio_bytestream(data: numpy.ndarray, step: int, lookahead_steps: int,
opcode_counts = collections.defaultdict(int)
y1 = y2 = 0.0 # last 2 speaker positions
min_lookahead_steps = lookahead_steps
# data = numpy.full(data.shape, 0.0)
# data = numpy.sin(
# numpy.arange(len(data)) * (2 * numpy.pi / (sample_rate / 3875)))
@ -141,18 +140,23 @@ def audio_bytestream(data: numpy.ndarray, step: int, lookahead_steps: int,
# )
# )
clicks = 0
min_lookahead_steps = lookahead_steps
while i < dlen // 1:
# XXX handle end of data cleanly
if i >= next_tick:
eta.print_status()
next_tick = int(eta.i * dlen / 1000)
if frame_offset == 2047:
lookahead_steps = min_lookahead_steps + 140 # XXX parametrize
else:
lookahead_steps = min_lookahead_steps
# Compute all possible opcode sequences for this frame offset
opcode_hash, candidate_opcodes, voltages, lookahead_steps = \
opcodes.candidate_opcodes(
frame_horizon(frame_offset, min_lookahead_steps),
min_lookahead_steps, is_6502)
frame_horizon(frame_offset, lookahead_steps),
lookahead_steps, is_6502)
all_positions = lookahead.evolve(
sp, y1, y2, voltage1, voltage2, voltage1 * voltages)
@ -225,7 +229,7 @@ def preprocess(
data, _ = librosa.load(filename, sr=target_sample_rate, mono=True)
max_value = 1.0 # numpy.percentile(data, normalization_percentile)
max_value = numpy.percentile(data, normalization_percentile)
data /= max_value
data *= normalize
@ -256,7 +260,7 @@ def main():
parser.add_argument("--normalization", default=1.0, type=float,
help="Overall multiplier to rescale input audio "
"values.")
parser.add_argument("--norm_percentile", default=99,
parser.add_argument("--norm_percentile", default=100,
help="Normalize to specified percentile value of input "
"audio")
parser.add_argument("input", type=str, help="input audio file to convert")