This isn't so much because it's not numeric (though usually it's not) as because it's not systematic (which quantitative data is, even when not numeric). Qualitative data - which is mostly what you'll be collecting in ethnographic fieldwork - requires a different sort of data analysis than quantitative data. Apple notes: works only on Apple devices.Keep: all hardware platforms simpler, less capabilities than Evernote.Evernote: all hardware platforms very elaborate.Some of them have many features, enabling photos, drawing, audio recording, and sharing in a team: For phonetic-level transcriptions, use a dedicated linguistic software tool like Praat or Speech Analyzer.Ī number of apps enable handy note-taking on your smartphone as well as computer or tablet, syncing across platforms. Sometimes a micro transcription, providing precise timing and pronunciation information, is called for.įor time-stamped transcriptions (when you want to tag every phrase, word or even syllable with a time), you can use Audacity, which allows you to transcribe in "labels", with very precise temporal coordinates. It will usually provide a quite good rough draft, and you can download and adjust it from there.
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Try converting your audio file to video (using Adapter or another tool), uploading to YouTube, and let YouTube provide an automatic transcription. Zoom provides this service (conduct your interview on Zoom and you can receive a transcript), as does Android's Recorder app, and even YouTube. Google also has a new cloud service that offers speech to text, among many other services.īut there are also many free options for speech recognition transcription. Three AI-powered tools are Transcribe, Dragon, and Otter. You can also use any audio playback software (Quicktime on the Mac lets you slow the speed). The main features for a manual tool are the ability to slow down the recording, and to jump back a few seconds, in order to catch something you missed.įor a simple free tool of this type, try Otranscribe. Some are manual, while others automate the process as AI-powered speech recognition, which has become highly accurate for English, at least when spoken by native speakers. Multimedia editing and analysis software Transcription (text)įor transcription, there are a number of tools available.
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a good camera or audio recorder) are certainly justified and worthwhile, especially prior to embarking on long-term fieldwork.Įxpensive items that hold their value are the signal collectors and transducers - lenses and microphones and speakers - everything else has a limited shelf-life.įieldwork hardware Software for ethnomusicology Multimedia (audio, image, video): editing, analysis, transcription Equipment and tools for recording, editing, and analysis (hardware and software)Įthnographic fieldwork is perforce very much a DIY enterprise, and for this reason I advocate use of free or inexpensive available tools whenever possible. (20 years old but still useful and only $6.00!) 4.4.1 Multimedia (audio, image, video): editing, analysis, transcription.4 Equipment and tools for recording, editing, and analysis (hardware and software).3.2.1 Multimedia (audio, image, video): editing, analysis, transcription.3 Equipment and tools for recording, editing, and analysis (hardware and software).