The purpose of this qualitative study is to analyze the dominant propaganda strategies that were reflected in an hour-long program of Radio Martì, a broadcast produced on behalf of Voice of America in the United States and aired to Cuba. Through propaganda techniques, a content analysis was used to determine which strategies were present in the commentator's coverage of the program, El Dia de la Prensa Libre on May 3rd, 2012. This study uncovered propaganda strategies, including testimonials, flag-waving, glittering generalities, appeal to prejudice, image manipulation, over-simplicity, assertion, and third party technique, that were utilized in an effort to present nuanced perspectives on the broadcasts transmitted on Radio Martì. The use of these strategies demonstrates that the program continues to use propaganda when broadcasting to Cuba after the conflict of interest incident with the United States and Radio Martì in 2006. Beyond the analysis of this broadcast, the results of this study cannot be generalized, but they can be viewed as an exemplar of the broadcast's stance on propaganda messages to Cuba on behalf of American journalists.

Denna artikel har som syfte att studera vilken effekt röstigenkänning kan ha på dokumentationen och samarbetet mellan vaktmästare i EOS-Hallen i Lund. Studien är uppbyggd på forskningsmetoden design och creation. En applikation byggdes för vaktmästarna med hjälp av Microsofts röstigenkänningstjänst. För att samla in data från vaktmästarna genomfördes observationer och intervjuer. Observationerna utfördes på 4 vaktmästare under 2 timmar av deras normala arbetsdagar. Från observationerna och intervjuerna som genomfördes efter observationerna visade det sig att röstigenkänning välkomnades av vaktmästarna. De upplevde att samarbetet mellan kollegorna förbättrades och dokumentationen blev effektivare, mer frekvent och mer detaljerad. / This article has the objective to study the effect voice recognition can have on the documentation and team work for janitors in EOS-Hallen in Lund. The study is built up on design and creation. An application was built for the janitors with the help of Microsoft’s voice recognition service. To gather data from the janitors, observations and interviews were conducted. The observations were conducted on 4 janitors for 2 hours during their normal work days. From the observations and the interviews conducted after the observations showed that voice recognition was welcomed by the janitors. They felt that the team work between the colleagues improved and the documentation became faster, more frequent and more detailed.

I detta projekt har Googles röstgränssnitt (eng: Google Cloud Speech API) utvärderats utifrån syftet att skapa ett program som ska identifiera en person baserat på dess röst. Detta projekt gjordes tillsammans med ett företager Call Knut vars mål är att utforma en tjänst som bygger på AI teknik som ska ringa upp till äldre. Eftersom tjänsten riktar sig mot äldre vill företaget Call Knut ha ett program som kan identifiera de äldre baserat på rösten.  Ett program skapades med hjälp av Googles röstgränssnitt för att transkribera och urskilja två röster i en ljudfil. Därefter samlades det in ljudfiler från olika personer i ett brett åldersspann och ljudfilerna kombinerades. De kombinerade ljudfilerna analyserades sedan för att kunna verifiera om Googles röstgränssnitt är optimalt för ändamålet. I 29,2 % av de kombinerade ljudfilerna lyckades Googles röstgränssnitt med att både urskilja och transkribera. Totalt misslyckades Googles röstgränssnitt med 70,8 % av inmatningarna.  Vår slutsats blev att Googles röstgränssnitt inte är lämpligt att använda för att utveckla Call Knuts planerade tjänst där rösturskiljningen måste fungera med hög precision. Vidare utvecklingsarbete rekommenderas att fokusera på att testa andra program eller röstgränssnitt. / In this project, the Google Speech API has been evaluated based on the purpose of creating a program that will identify a person based on their voice. This project is done together with a company called Call Knut whose goal is to design a service based on AI technology that will call the elderly. Since the service is aimed at the elderly, Call Knut wants a program that can identify the elderly based on their voice.  An application was created using the Google Speech API to transcribe and distinguish two voices in an audio file. Then audio files were collected from different people in a wide age range and audio files were combined. The combined audio files were then analyzed to verify whether the Google Cloud interface is optimal for the purpose. In 29.2 % of the combined audio files Google Speech API managed to both distinguish two voices and transcribe what they said. In total, Google Speech API failed with 70.8 % of the entries.  Our conclusion was that Google's voice interface is not suitable to use to develop Call Knut’s planned service where voice recognition must work with high precision. Further development work is recommended to focus on testing other programs or voice interfaces.

Throughout centuries of great classical music, many viola compositions have been crafted from a wealth of literature for instruments of similar range. Clarinet, violin, and cello concerti and ensemble literature often adapt into challenging literature for the viola. In November 2009, Oxford Music Publishing gave me permission to transcribe and perform the Prelude, Allegro, and Pastorale by Rebecca Clarke in New York's famed Carnegie Hall - Weill Recital Hall. This dissertation explains the process by which I transcribed the Prelude, Allegro, and Pastorale from an original Bb-clarinet/viola duo, to a new arrangement for two violas (approved by Oxford Music Press arrangement license #7007940), and discusses challenges faced throughout the transcription process.