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c_keyword_spotting's Introduction

C Keyword Spotting

No C++, no dependency hell. Suitable for embedded devices.

Demo

Default models pretrained on 0-9 words: zero one two three four five six seven eight nine.

~$ arecord -f S16_LE -c1 -r16000 -d1 test.wav
~$ aplay test.wav
~$ src/features/build.sh
~$ src/brain/build.sh
~$ bin/fe test.wav | bin/guess models/mlp.model
~$ bin/fe test.wav | bin/guess models/cnn.model
~$ bin/fe test.wav | bin/guess models/rnn.model

Training

See google speech commands dataset for available words.

~$ apt install gcc fdupes sox mpg123 wget p7zip-full # Ubuntu 18.04
~$ dataset/main.sh zero one two three four five six seven eight nine

It takes some time, be patient. Finally you'll see confusion matrix.

MLP confusion matrix...
zero  | 0.90 0.00 0.03 0.00 0.00 0.00 0.00 0.02 0.00 0.00 0.04 0.00 | 603
one   | 0.00 0.86 0.01 0.00 0.01 0.01 0.00 0.01 0.00 0.04 0.06 0.00 | 575
two   | 0.03 0.01 0.87 0.00 0.02 0.00 0.00 0.02 0.01 0.00 0.03 0.01 | 564
three | 0.00 0.00 0.02 0.87 0.00 0.00 0.01 0.02 0.03 0.01 0.03 0.00 | 548
four  | 0.00 0.03 0.02 0.00 0.86 0.01 0.00 0.01 0.00 0.00 0.07 0.00 | 605
five  | 0.00 0.01 0.00 0.01 0.01 0.82 0.00 0.03 0.01 0.03 0.07 0.00 | 607
six   | 0.00 0.00 0.00 0.00 0.00 0.00 0.94 0.00 0.00 0.00 0.03 0.01 | 462
seven | 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.94 0.00 0.00 0.03 0.01 | 574
eight | 0.00 0.00 0.01 0.06 0.00 0.01 0.03 0.01 0.84 0.01 0.03 0.01 | 547
nine  | 0.00 0.05 0.00 0.00 0.00 0.01 0.00 0.02 0.00 0.84 0.07 0.01 | 596
#unk# | 0.04 0.05 0.03 0.04 0.02 0.05 0.03 0.03 0.01 0.05 0.66 0.02 | 730
#pub# | 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.97 | 730
MLP guessed wrong 998...

CNN confusion matrix...
zero  | 0.94 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.04 0.00 | 603
one   | 0.00 0.94 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.05 0.00 | 575
two   | 0.01 0.00 0.90 0.00 0.01 0.00 0.00 0.01 0.00 0.00 0.06 0.00 | 564
three | 0.00 0.00 0.01 0.88 0.00 0.00 0.01 0.00 0.02 0.00 0.08 0.00 | 548
four  | 0.00 0.00 0.00 0.00 0.91 0.00 0.00 0.00 0.00 0.00 0.07 0.01 | 605
five  | 0.00 0.00 0.00 0.00 0.00 0.92 0.00 0.00 0.01 0.00 0.06 0.00 | 607
six   | 0.00 0.00 0.00 0.00 0.00 0.00 0.97 0.00 0.00 0.00 0.02 0.01 | 462
seven | 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.95 0.00 0.00 0.05 0.00 | 574
eight | 0.00 0.00 0.00 0.01 0.01 0.01 0.00 0.00 0.94 0.00 0.03 0.00 | 547
nine  | 0.00 0.01 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.90 0.09 0.00 | 596
#unk# | 0.00 0.01 0.00 0.01 0.01 0.01 0.00 0.00 0.01 0.01 0.94 0.01 | 730
#pub# | 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.98 | 730
CNN guessed wrong 495...

RNN confusion matrix...
zero  | 0.97 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.00 0.00 0.01 0.00 | 603
one   | 0.00 0.94 0.00 0.00 0.00 0.01 0.00 0.00 0.00 0.01 0.03 0.00 | 575
two   | 0.01 0.00 0.96 0.00 0.01 0.00 0.00 0.00 0.00 0.00 0.01 0.01 | 564
three | 0.00 0.00 0.01 0.94 0.00 0.00 0.00 0.01 0.02 0.00 0.03 0.00 | 548
four  | 0.00 0.00 0.00 0.00 0.96 0.00 0.00 0.00 0.00 0.00 0.03 0.00 | 605
five  | 0.00 0.00 0.00 0.00 0.00 0.92 0.00 0.00 0.01 0.01 0.04 0.00 | 607
six   | 0.00 0.00 0.00 0.00 0.00 0.00 0.98 0.00 0.00 0.00 0.01 0.00 | 462
seven | 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.98 0.00 0.00 0.01 0.00 | 574
eight | 0.00 0.00 0.00 0.01 0.00 0.00 0.00 0.00 0.95 0.00 0.02 0.01 | 547
nine  | 0.00 0.00 0.00 0.00 0.00 0.01 0.00 0.00 0.00 0.96 0.03 0.00 | 596
#unk# | 0.01 0.01 0.00 0.01 0.02 0.01 0.00 0.00 0.01 0.01 0.91 0.01 | 730
#pub# | 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.99 | 730
RNN guessed wrong 320...

Heap Memory Usage

Some magic numbers to know before stepping into embedded world.

~$ valgrind bin/fe test.wav                              # 1,047,256 bytes allocated
~$ bin/fe test.wav | valgrind bin/guess models/mlp.model # 622,768 bytes allocated
~$ bin/fe test.wav | valgrind bin/guess models/cnn.model # 2,445,100 bytes allocated
~$ bin/fe test.wav | valgrind bin/guess models/rnn.model # 403,772 bytes allocated

See ESP32 example.

Just for Fun

This is how our neural network sees the world.

~$ bin/fe /tmp/google_speech_commands/_human_words_/happy/ab00c4b2_nohash_0.wav | awk '
     BEGIN { print "plot \"-\" with image notitle" }
     { for (i=1;i<=NF;i++) print NR, i, $i }
     END { print "e" }
     ' | gnuplot -p

Features

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