This library provides common Acoustic features for machine learning or sequence analysis tasks.
In REPL's package mode:
pkg> add AcousticFeaturesor alternatively from the latest repository:
pkg> add https://github.com/sonosole/AcousticFeatures.jl.gitSupported features:
- Mel Frequency Cepstral Coefficients
- Offline Filterbank Energies
- Online Filterbank Energies
- Log Filterbank Energies
- LPC & LPCC
using Plots
using WAV:wavread
plts = []
data, Fs = wavread("MonoFile.wav");
data .= data .- sum(data)/length(data)
fbank = MelSpec(
fs = floor(Int,Fs),
alpha = 0.97,
winlen = 512,
stride = 128,
nbanks = 128,
eps = 1e-5,
winfunc = hanning)
# for Filterbank Energies
feat1 = fbank(copy(data), nothing)
# for Log Filterbank Energies (default)
feat2 = fbank(copy(data), log)
# for other Filterbank Energies
feat3 = fbank(copy(data), x->x^0.5)
push!(plts, plot(data, xlims=(1,length(data))))
push!(plts, heatmap(feat1, legend=nothing))
push!(plts, heatmap(feat2, legend=nothing))
push!(plts, heatmap(feat3, legend=nothing))
plot(plts...,layout=(4,1),legend=nothing, framestyle=:box, ticks=nothing)using Plots
using PortAudio
ichs = 1 # number of input channels
ochs = 0 # number of output channels
len = 512 # length of one frame data
mic = PortAudioStream(ichs, ochs; eltype=Float32, latency=0.2, samplerate=16000.0)
spec = OnlineMelSpec(fs=16000, winlen=len, nffts=1024, nbanks=128)
while true
frame = read(mic, len)
feat = spec(frame.data)
# use feat to do your job here #
end