'audio transcriptions' is a correct and usable phrase in written English.
You can use it to refer to a written document that contains a written account of speech found in an audio recording. For example, "We needed to transcribe the audio recordings of our team meetings, so we hired a company to provide us with accurate audio transcriptions."
Today, the company is focused on two areas: audio transcriptions and translations.
For video search, AOL has acquired Singingfish.com and Truveo, video-search engines that search based on metadata like Google and Yahoo! do–instead of audio transcriptions.
In our analysis of the students' oral and written work, we tried to address this limitation by simultaneously referring to all the video and audio transcriptions.
An artificial neural network (ANN) is trained with an only audio database and the associated visual parameters, where the visual parameters are not extracted from real videos but are computed from the corresponding audio transcriptions.
We are grateful to the following: Jane Mullins, Carol Maddock, Rachel Russell, and Dawn Skelton for their assistance in organising focus groups; Jane Mullins, Carol Maddock, Marcus Ormerod, and Ricardo Codinhoto for their assistance in facilitating focus groups (hosting and / or note taking); and Harriet Hogarth for facilitating the majority of focus groups and conducting the audio transcriptions.
There are also audio transcriptions to listen to.
On the other hand, audio transcription may be one of those occupations in which the human element will always make a difference.
Zhen suggested that audio transcription would allow for better searching while maintaining the video experience of the app.
The other API demoed at the conference is custom voice-recognition tools for audio transcription, to be able to recognize low-grade audio.
Version 15 also brings a simplified UI, formatting improvements, more support for audio transcription and optimization for a number of touchscreen Windows PCs.
It is already being heavily used by numerous employers ("requesters") for solving a wide variety of tasks, such as audio transcription, content screening, and labeling training data for machine learning.
