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Speech Recognitionon the Android Platformunder Adverse Noise Conditions
KTH, School of Computer Science and Communication (CSC).
2014 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This study investigates the offline transcription capabilities of the Android Speech RecognitionEngine (ASRE). The need for this study comes from an original specification for an application tobe used to prevent illegal logging in the Amazon rainforest. Recognition of a set of spoken wordsand phrases was tested under controlled conditions in a recording studio using varying levels ofbackground noise. The results indicate that the ASRE can properly transcribe digits, parts of digits,and strings, but that cannot properly transcribe continuous text. The study finds that the ASREcould meet the needs of the original project specification and can be used to help prevent illegallogging in the Amazon rainforest.

Abstract [sv]

Denna studie undersöker möjligheten till röstigenkänning i offlineläge hos Androidsröstigenkänningsmotor (ASRE). Studien behövs som en del i ett projekt för att producera enapplikation för att förhindra illegal avverkning i Amazonområdet. Tester av ASREs förmåga gjordesmed ord och fraser under kontrollerade förhållanden i en inspelningsstudio med varierade nivåer avbakgrundsljud. Resultaten visar att ASRE kan transkribera siffror, delar av siffror, och strängar, menatt den inte kan transkribera flytande text. Slutsatsen är att ASRE kan användas för att att uppfyllaoriginalspecifikationen och producera en applikation för att hjälpa till att förhindra illegalavverkning i Amazonområdet.Page 2

Place, publisher, year, edition, pages
National Category
Computer Science
URN: urn:nbn:se:kth:diva-157140OAI: diva2:769349
Available from: 2014-12-08 Created: 2014-12-08 Last updated: 2014-12-08Bibliographically approved

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