$30 off During Our Annual Pro Sale. View Details »
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Speech framework tips
Search
Ryo Tsuzukihashi
July 10, 2020
Programming
1
2.8k
Speech framework tips
speech framework tips
Ryo Tsuzukihashi
July 10, 2020
Tweet
Share
More Decks by Ryo Tsuzukihashi
See All by Ryo Tsuzukihashi
AlarmKitで実現する 新時代のシステム通知
tsuzuki817
0
2.9k
SwiftUI Transaction を徹底活用!ZOZOTOWN UI開発での活用事例
tsuzuki817
1
2.6k
レビューを増やしつつ 高評価維持するテクニック
tsuzuki817
3
1.1k
二次元コードを読み取りやすくするために 画面を強制的に明るくするのは もうやめにしませんか?👀
tsuzuki817
0
450
動画だけじゃない!iOS 15のピクチャ・イン・ピクチャを使って好きなUIを表示させよう!
tsuzuki817
3
5.4k
iOS 16からのロック画面Widget争奪戦に備える
tsuzuki817
2
1.1k
Complications and widgets: Reloadedの要約
tsuzuki817
1
1.4k
Build complication in SwiftUI の要約
tsuzuki817
0
740
SwiftUI で Neumorphism!!!
tsuzuki817
2
2k
Other Decks in Programming
See All in Programming
Socio-Technical Evolution: Growing an Architecture and Its Organization for Fast Flow
cer
PRO
0
200
DSPy Meetup Tokyo #1 - はじめてのDSPy
masahiro_nishimi
1
130
Querying Design System デザインシステムの意思決定を支える構造検索
ikumatadokoro
1
1.2k
しっかり学ぶ java.lang.*
nagise
1
470
React Native New Architecture 移行実践報告
taminif
1
130
GeistFabrik and AI-augmented software development
adewale
PRO
0
230
ハイパーメディア駆動アプリケーションとIslandアーキテクチャ: htmxによるWebアプリケーション開発と動的UIの局所的適用
nowaki28
0
260
分散DBって何者なんだ... Spannerから学ぶRDBとの違い
iwashi623
0
160
社内オペレーション改善のためのTypeScript / TSKaigi Hokuriku 2025
dachi023
1
330
Media Capture and Streams: W3C仕様と現場での知見
nowaki28
0
120
Micro Frontendsで築いた 共通基盤と運用の試行錯誤 / Building a Shared Platform with Micro Frontends: Operational Learnings
kyntk
1
1.9k
【CA.ai #3】Google ADKを活用したAI Agent開発と運用知見
harappa80
0
140
Featured
See All Featured
Templates, Plugins, & Blocks: Oh My! Creating the theme that thinks of everything
marktimemedia
31
2.6k
Designing for humans not robots
tammielis
254
26k
Embracing the Ebb and Flow
colly
88
4.9k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
196
69k
A Tale of Four Properties
chriscoyier
162
23k
Six Lessons from altMBA
skipperchong
29
4.1k
Leading Effective Engineering Teams in the AI Era
addyosmani
8
1.2k
Navigating Team Friction
lara
191
16k
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
370
Automating Front-end Workflow
addyosmani
1371
200k
Connecting the Dots Between Site Speed, User Experience & Your Business [WebExpo 2025]
tammyeverts
10
700
YesSQL, Process and Tooling at Scale
rocio
174
15k
Transcript
5TV[VLJIBTIJ3ZP !UTV[VLJ 4QFFDIGSBNFXPSLUJQT <0OMJOF>QPUBUPUJQTJ04"OESPJE։ൃ5JQTڞ༗ձ
ࣗݾհ w!UTV[VLJ w:BIPP+"1"/ 1BZ1BZϑϦϚJ04ΞϓϦ։ൃ wݸਓΞϓϦ։ൃͱࣸਅ wݱࡏݸͷΞϓϦ։ൃத✌ bТ ✌
4QFFDIGSBNFXPSLͱ w"QQMF wԻೝࣝ ϦΞϧλΠϜɺԻͲͪΒରԠ wJ04 J1BE04 NBD04ରԠ 4XJGU6*Λ͏ͱಉ࣌ʹશ෦࡞Εͯඒຯ͍͠
ϦΫΤετͷํ๏ αʔόʔ ΦϑϥΠϯ J04Ҏ߱ ੑೳ #FTU (PPE
ϦΫΤετͷํ๏ αʔόʔ ΦϑϥΠϯ J04Ҏ߱ ੑೳ #FTU (PPE "1*੍ݶ ͋Γ ͳ͠
ϦΫΤετͷํ๏ αʔόʔ ΦϑϥΠϯ J04Ҏ߱ ੑೳ #FTU (PPE "1*੍ݶ ͋Γ ͳ͠
ରԠݴޠ Ҏ্ Ҏ্
ϦΫΤετͷํ๏ αʔόʔ ΦϑϥΠϯ J04Ҏ߱ ੑೳ #FTU (PPE "1*੍ݶ ͋Γ ͳ͠
ରԠݴޠ Ҏ্ Ҏ্ ຊޠ ˓ ❌
"1*ͷ੍ݶ wΦϑϥΠϯͰ੍ݶͳ͠ w4'4QFFDI3FDPHOJUJPO3FRVFTU wϦΫΤετඵ w࣌ؒʹճ ΞϓϦ͝ͱͰͳ͘ɺσόΠε͝ͱͷ੍ݶ
࣮ w 4QFFDIΛΠϯϙʔτ w -PDBMFΛࢦఆ ಛఆͷݴޠΛࢦఆ͢Δํ๏ Ϣʔβʔͷݱࡏͷ-PDBMFΛઃఆ͢Δํ๏ SFSpeechRecognizer(locale: Locale(identifier: "ja_JP"))
SFSpeechRecognizer(locale: Locale.current) import Speech
࣮ ΞΫηεڐՄ SFSpeechRecognizer.requestAuthorization {status in switch status { case .authorized:
case .denied: case .restricted: case .notDetermined: } }
࣮ w ϦΞϧλΠϜԻղੳ w Իͨ͠ԻΛղੳ SFSpeechAudioBufferRecognitionRequest() SFSpeechURLRecognitionRequest(url: URL) Իιʔεͷఆٛ
࣮ 3FRVFTUͷ݁ՌΛॲཧ speechRecognizer?.recognitionTask(with: speechRequest, resultHandler: { (speechResult, error) in if
speechResult.isFinal { print("Speech in the file is \ (speechResult.bestTranscription.formattedString)") }
Իೝࣝ݁Ռ J04·Ͱ w ॻ͖ى͜͠ 5SBOTDSJQUJPO ༩͑ΒΕͨԻશମΛςΩετͰදͨ͠ͷ w ସղऍ "MUFSOBUJWFJOUFSQSFUBUJPOT
ॻ͖ى͜͠ͷҟͳΔղऍ w ৴པ $POpEFODFMFWFMT ॻ͖ى͕͜͠Ϣʔβʔͷ4QFFDIͱਖ਼֬ʹҰக͢Δͱ͍͏৴པ w λΠϛΠϯάใ 5JNJOHJOGPSNBUJPO ೝࣝͨ͠ԻͷதͰ͍ͯͨ͠୯ޠͳͲͷ։͔࢝Βͷඵ
Իೝࣝ݁Ռ J04Ҏ߱ w TQFBLJOH3BUF ؒʹ͞ΕΔݴ༿ͷ w ฏۉٳࢭ࣌ؒ BWFSBHF1BVTF%VSBUJPO
୯ޠؒͷҰ࣌తͳఀࢭ࣌ؒͷฏۉɺ୯Ґඵ w Իղੳػೳ SFTVMUCFTU5SBOTDSJQUJPOTFHNFOUT͔Βऔಘ
4'5SBOTDSJQUJPO4FHNFOU w શମͷҰ෦Λৄࡉʹऔಘ͢ΔͨΊʹར༻ w ҰͭͷҙຯΛද͢୯ޠɺ୯ޠͷάϧʔϓͷԻ w FYڞ༗ձɹˠࠓ༠սɺڞ༗ճɹͳͲʣ
4'7PJDF"OBMZUJDT J04Ҏ߱ w +JUUFSϐονͷมԽΛɺϑϨʔϜͷجຊपͷύʔηϯςʔδͰදͨ͠ͷ TFHNFOUWPJDF"OBMZUJDT KJUUFSBDPVTUJD'FBUVSF7BMVF1FS'SBNF w 4IJNNFS֤ϑϨʔϜʹ͓͚Δྔ҆ఆੑʢৼ෯ʣͷมԽΛσγϕϧͰද͢ TFHNFOUWPJDF"OBMZUJDT TIJNNFSBDPVTUJD'FBUVSF7BMVF1FS'SBNF
w 1JUDI֤ϑϨʔϜʹ͓͚ΔԻ৭ʢجຊपʣͷߴΛରͰදͨ͠ͷ TFHNFOUWPJDF"OBMZUJDT QJUDIBDPVTUJD'FBUVSF7BMVF1FS'SBNF w 7PJDJOHεϐʔνͷதͰൃੜͨ͠ԻҬ < >ͷൣғͷ֬Ͱදͨ͠ͷ TFHNFOUWPJDF"OBMZUJDT WPJDJOHBDPVTUJD'FBUVSF7BMVF1FS'SBNF
ࣗͷ͍ൃԻͰࢼͯ͠Έͨ w ʮڞ༗ձʯൃԻ ग़ྗ CFTU5SBOTDSJQUJPO GPSNBUUFE4USJOH ڞ༗ձ TQFBLJOH3BUF BWFSBHF1BVTF%V
SBUJPO TFHNFOU BMUFSOBUJWF4VCTUSJOH T ࠓ༠ս ڞ༗ճ DPOpEFODF UJNJOH
࣮࣌ͷҙ w *OGPQMJTU ɹ/44QFFDI3FDPHOJUJPO6TBHF%FTDSJQUJPO ɹ/4.JDSPQIPOF6TBHF%FTDSJQUJPO w ௨தԻ͕Ͱ͖ͳ͍ͷͰσόοά࣌ʹҙ w อଘ͢Δࡍʹ֦ுࢠNBʹ͠ͳ͍ͱԻੳ͕ࣦഊʹͳΔ FY"7"VEJP3FDPSEFSͷSFDPSE
ࢀߟ63- w IUUQTEFWFMPQFSBQQMFDPNEPDVNFOUBUJPOTQFFDI w IUUQTRJJUBDPNZPOFMMJUFNTGFGCECCGD w IUUQTEFWFMPQFSBQQMFDPNWJEFPTQMBZXXED w IUUQTEFWFMPQFSBQQMFDPNMJCSBSZBSDIJWFRBRB @JOEFYIUNMBQQMF@SFGEPDVJE%54
w IUUQTBDBEFNZSFBMNJPKQQPTUTUSZTXJGUNBSDCSPXOTBZJUBJOUTP JNQMFNFOUJOHTQFFDISFDPHOJUJPO