Assembly Audio Transcription lets you transcribe audio into text accurately. Using advanced voice recognition tech, the AI analyzes and converts voice recordings into text, which makes it easier to analyze content and improves accessibility. Plus, with Tess AI, you can use the literal transcription result to process with other AI models and prep summaries, meeting notes, get insights, and strategic analysis.
Steps:
Audio Upload: Upload the audio file you want to transcribe in the chat. It's important to click on “+” and then drag the file, so the option to select the models, language, and training mode will show up.
Choose the Assembly:
Pick the language and training mode too. If you just want to transcribe, even if the file is long, you can try the Deeplearning mode for better transcription.
Output Result:
The transcribed text will be shown in a readable format, with a literal transcription.
Use Cases:
Meeting and Conference Documentation: Automatically transcribe meeting and conference discussions to create detailed written records, making it easier to keep track of actions and decisions. And with AI, you can prep meeting minutes and organize documents with the results from the transcription.
Interview Analysis: Turn recorded interviews into text for qualitative analysis, making it easier to review themes and patterns. Plus, you can get help writing feedback emails by combining the transcription with AI.
Education and Online Learning: Turn lectures, podcasts, and recorded classes into text for study materials and e-learning platforms. You can also prep summaries, articles, and mind maps to help with learning, all with the help of AI.
Limitations:
The file must be up to 200MB for files imported via input and 5GB for files in the cloud by link.
The file must be in the following formats: mp4, m4p (with DRM), m4v, mxf, mp2, mov, mts, m2ts, ts, webm, 3ga, aac, ac3, 8svx, aif, aiff, alac, amr, ape, au, dss, flac, flv, m4a, m4b, m4p, m4r, mp3, mpga, ogg, oga, mogg, opus, qcp, tta, voc, wav, wma and wv.
Conclusion:
The Assembly Audio Transcription feature offers an efficient and accurate solution to turn audio into text. It's essential for organizations aiming to improve information management and the accessibility of voice-based content. With transcription, you can use AI models to train and generate meeting notes, conversation sentiment analysis, summaries, etc.
