| # |
| # Copyright 2022 Google LLC |
| # |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # |
| |
| import numpy as np |
| import scipy.signal as signal |
| import scipy.io.wavfile as wavfile |
| import struct |
| import argparse |
| |
| import lc3 |
| import tables as T, appendix_c as C |
| |
| import mdct, energy, bwdet, sns, tns, spec, ltpf |
| import bitstream |
| |
| class Decoder: |
| |
| def __init__(self, dt_ms, sr_hz): |
| |
| dt = { 7.5: T.DT_7M5, 10: T.DT_10M }[dt_ms] |
| |
| sr = { 8000: T.SRATE_8K , 16000: T.SRATE_16K, 24000: T.SRATE_24K, |
| 32000: T.SRATE_32K, 48000: T.SRATE_48K }[sr_hz] |
| |
| self.sr = sr |
| self.ne = T.NE[dt][sr] |
| self.ns = T.NS[dt][sr] |
| |
| self.mdct = mdct.MdctInverse(dt, sr) |
| |
| self.bwdet = bwdet.BandwidthDetector(dt, sr) |
| self.spec = spec.SpectrumSynthesis(dt, sr) |
| self.tns = tns.TnsSynthesis(dt) |
| self.sns = sns.SnsSynthesis(dt, sr) |
| self.ltpf = ltpf.LtpfSynthesis(dt, sr) |
| |
| def decode(self, data): |
| |
| b = bitstream.BitstreamReader(data) |
| |
| bw = self.bwdet.get(b) |
| if bw > self.sr: |
| raise ValueError('Invalid bandwidth indication') |
| |
| self.spec.load(b) |
| |
| self.tns.load(b, bw, len(data)) |
| |
| pitch = b.read_bit() |
| |
| self.sns.load(b) |
| |
| if pitch: |
| self.ltpf.load(b) |
| else: |
| self.ltpf.disable() |
| |
| x = self.spec.decode(b, bw, len(data)) |
| |
| return (x, bw, pitch) |
| |
| def synthesize(self, x, bw, pitch, nbytes): |
| |
| x = self.tns.run(x, bw) |
| |
| x = self.sns.run(x) |
| |
| x = np.append(x, np.zeros(self.ns - self.ne)) |
| x = self.mdct.run(x) |
| |
| x = self.ltpf.run(x, len(data)) |
| |
| return x |
| |
| def run(self, data): |
| |
| (x, bw, pitch) = self.decode(data) |
| |
| x = self.synthesize(x, bw, pitch, len(data)) |
| |
| return x |
| |
| def check_appendix_c(dt): |
| |
| i0 = dt - T.DT_7M5 |
| |
| dec_c = lc3.setup_decoder(int(T.DT_MS[dt] * 1000), 16000) |
| ok = True |
| |
| for i in range(len(C.BYTES_AC[i0])): |
| |
| pcm = lc3.decode(dec_c, bytes(C.BYTES_AC[i0][i])) |
| ok = ok and np.max(np.abs(pcm - C.X_HAT_CLIP[i0][i])) < 1 |
| |
| return ok |
| |
| def check(): |
| |
| ok = True |
| |
| for dt in range(T.DT_7M5, T.NUM_DT): |
| ok = ok and check_appendix_c(dt) |
| |
| return ok |