Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Exercises for Patterns in Recordings
Search
Sponsored
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
Ben Fields
July 05, 2016
Technology
0
57
Exercises for Patterns in Recordings
from DHOxSS 2015-16
Ben Fields
July 05, 2016
Tweet
Share
More Decks by Ben Fields
See All by Ben Fields
People in the loop machine learning: A case Study in news similarity
bfields
0
170
Human-centric evaluation of similarity spaces of news articles
bfields
2
83
Ethics, Data Science, and Public Service Media
bfields
1
95
The Case for Public Service Recommender Algorithms
bfields
0
800
Bikes are Dope
bfields
0
98
Beyond Your Reckons: from feels to facts
bfields
0
100
People who like cheese also like crackers: a learning hour on recommender systems
bfields
0
110
Auto-Summarising Beer Reviews
bfields
0
96
rMIXr: how we learned to stop worrying and love the graph
bfields
0
120
Other Decks in Technology
See All in Technology
非情報系研究者へ送る Transformer入門
rishiyama
11
7.6k
Keycloak を使った SSO で CockroachDB にログインする / CockroachDB SSO with Keycloak
kota2and3kan
0
140
銀行の内製開発にて2つのプロダクトを1つのチームでスクラムしてみてる話
koba1210
1
130
Lambda Web AdapterでLambdaをWEBフレームワーク利用する
sahou909
0
140
複数クラスタ運用と検索の高度化:ビズリーチにおけるElastic活用事例 / ElasticON Tokyo2026
visional_engineering_and_design
0
160
Cortex Code CLI と一緒に進めるAgentic Data Engineering
__allllllllez__
0
400
OpenClaw を Amazon Lightsail で動かす理由
uechishingo
0
130
モブプログラミング再入門 ー 基本から見直す、AI時代のチーム開発の選択肢 ー / A Re-introduction of Mob Programming
takaking22
5
1.6k
Claude Code のコード品質がばらつくので AI に品質保証させる仕組みを作った話 / A story about building a mechanism to have AI ensure quality, because the code quality from Claude Code was inconsistent
nrslib
13
8.4k
マルチアカウント環境でSecurity Hubの運用!導入の苦労とポイント / JAWS DAYS 2026
genda
0
770
スクリプトの先へ!AIエージェントと組み合わせる モバイルE2Eテスト
error96num
0
180
2026-03-11 JAWS-UG 茨城 #12 改めてALBを便利に使う
masasuzu
2
390
Featured
See All Featured
Gemini Prompt Engineering: Practical Techniques for Tangible AI Outcomes
mfonobong
2
320
Organizational Design Perspectives: An Ontology of Organizational Design Elements
kimpetersen
PRO
1
640
Navigating the Design Leadership Dip - Product Design Week Design Leaders+ Conference 2024
apolaine
0
230
GitHub's CSS Performance
jonrohan
1032
470k
svc-hook: hooking system calls on ARM64 by binary rewriting
retrage
2
170
Getting science done with accelerated Python computing platforms
jacobtomlinson
2
140
The Anti-SEO Checklist Checklist. Pubcon Cyber Week
ryanjones
0
92
Done Done
chrislema
186
16k
How to Think Like a Performance Engineer
csswizardry
28
2.5k
A better future with KSS
kneath
240
18k
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
360
30k
Transcript
Patterns in Recording - Exercises Ben Fields
WEKA basics • Launch the WEKA Application • Select ‘Explorer’
• Load ’50_weka_class_labeled.arff’ • Select various Attributes (features)
WEKA basics • Attribute selection with regular expressions (‘.*’ is
an expanding wild card) • Find all the MFCC attributes • also select ‘CLASS’ • press ‘Invert’, then ‘Remove’
using a classifier • Select ‘Classify’ tab • ‘Choose’ >>
‘classifiers/bayes/ NaiveBayes’ • set test options to ‘Cross-validation’ • press ‘Start’
putting it all together • now repeat the whole process
using LPC features
Explore more files and features • Load ‘training_data_after_parsing.arff’ • Classify
against the CLASS mood labels using Random Forests and J48. Which performs better? Which classes are most confused?