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
Ben Fields
July 05, 2016
Technology
0
47
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
150
Human-centric evaluation of similarity spaces of news articles
bfields
2
68
Ethics, Data Science, and Public Service Media
bfields
1
70
The Case for Public Service Recommender Algorithms
bfields
0
740
Bikes are Dope
bfields
0
79
Beyond Your Reckons: from feels to facts
bfields
0
89
People who like cheese also like crackers: a learning hour on recommender systems
bfields
0
92
Auto-Summarising Beer Reviews
bfields
0
78
rMIXr: how we learned to stop worrying and love the graph
bfields
0
110
Other Decks in Technology
See All in Technology
非エンジニアのあなたもできる&もうやってる!コンテキストエンジニアリング
findy_eventslides
3
910
職種別ミートアップで社内から盛り上げる アウトプット文化の醸成と関係強化/ #DevRelKaigi
nishiuma
2
130
GA technologiesでのAI-Readyの取り組み@DataOps Night
yuto16
0
270
SREとソフトウェア開発者の合同チームはどのようにS3のコストを削減したか?
muziyoshiz
1
100
AI時代だからこそ考える、僕らが本当につくりたいスクラムチーム / A Scrum Team we really want to create in this AI era
takaking22
6
3.4k
自作LLM Native GORM Pluginで実現する AI Agentバックテスト基盤構築
po3rin
2
250
about #74462 go/token#FileSet
tomtwinkle
1
290
FastAPIの魔法をgRPC/Connect RPCへ
monotaro
PRO
1
740
Goに育てられ開発者向けセキュリティ事業を立ち上げた僕が今向き合う、AI × セキュリティの最前線 / Go Conference 2025
flatt_security
0
350
Goにおける 生成AIによるコード生成の ベンチマーク評価入門
daisuketakeda
2
100
定期的な価値提供だけじゃない、スクラムが導くチームの共創化 / 20251004 Naoki Takahashi
shift_evolve
PRO
3
300
SwiftUIのGeometryReaderとScrollViewを基礎から応用まで学び直す:設計と活用事例
fumiyasac0921
0
140
Featured
See All Featured
Mobile First: as difficult as doing things right
swwweet
224
10k
How to train your dragon (web standard)
notwaldorf
96
6.3k
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
PRO
23
1.5k
Product Roadmaps are Hard
iamctodd
PRO
54
11k
Fashionably flexible responsive web design (full day workshop)
malarkey
407
66k
Imperfection Machines: The Place of Print at Facebook
scottboms
269
13k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
252
21k
The Power of CSS Pseudo Elements
geoffreycrofte
79
6k
Statistics for Hackers
jakevdp
799
220k
Building a Modern Day E-commerce SEO Strategy
aleyda
43
7.7k
Making Projects Easy
brettharned
119
6.4k
Fireside Chat
paigeccino
40
3.7k
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?