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Call for Feedback: Proposed Changes to How ERIC Indicates Peer Review
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ERIC Number: EJ800265
Record Type: Journal
Publication Date: 2007-Dec
Pages: 14
Abstractor: As Provided
Reference Count: 22
ISSN: ISSN-1052-0147
The Voice Transcription Technique: Use of Voice Recognition Software to Transcribe Digital Interview Data in Qualitative Research
Matheson, Jennifer L.
Qualitative Report, v12 n4 p547-560 Dec 2007
Transcribing interview data is a time-consuming task that most qualitative researchers dislike. Transcribing is even more difficult for people with physical limitations because traditional transcribing requires manual dexterity and the ability to sit at a computer for long stretches of time. Researchers have begun to explore using an automated transcription process using digital recordings and voice recognition software (VRS). While VRS has improved in recent years, it is not yet available to the general public in a format that can recognize more than one recorded voice. This article outlines a strategy used to circumvent this problem and improve the speed and ease of transcription. The equipment and the Voice Transcription Technique used are outlined, as well as suggestions for future technological advances in transcription. (Contains 2 tables.)
Nova Southeastern University. 3301 College Avenue, Fort Lauderdale, FL 33314. Tel: 954-262-5399; Fax: 954-262-3970; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers: N/A