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How can I efficiently transcribe team calls recorded on my cellphone, without breaking the bank on expensive software or subscription services?

**Speech-to-text technology**: Microsoft Teams uses an algorithm to recognize spoken words and convert them into written text.

This process is called automatic speech recognition (ASR), which is a type of machine learning model that is trained on vast amounts of audio data.

**Machine learning-based transcription**: Microsoft Teams uses a machine learning-based transcription service, MeetGeek, to generate a rough meeting transcript from a prerecorded audio file.

This service uses a combination of natural language processing (NLP) and machine learning algorithms to recognize spoken words and convert them into text.

**Real-time transcription**: Microsoft Teams' live transcription feature allows for real-time transcription of participant speech during a scheduled meeting.

This feature uses a combination of ASR and NLP to recognize spoken words and convert them into text in real-time.

**Speaker attribution**: Microsoft Teams' live transcription feature can also attribute spoken words to individual speakers, allowing users to identify who said what during a meeting.

**NLP and ASR limitations**: While machine learning-based transcription services like MeetGeek are incredibly accurate, they still have limitations.

For example, they may struggle to accurately transcribe certain accents, dialects, or spoken language.

**Audio quality affects transcription accuracy**: The quality of the audio recording can affect the accuracy of the transcription.

Distinctive sounds, background noise, and audio quality issues can all impact the accuracy of the transcription.

**Noise reduction algorithms**: Microsoft Teams uses noise reduction algorithms to improve the quality of the audio recording and enhance the accuracy of the transcription.

**User input affects accuracy**: User input, such as correcting transcription errors, can also affect the accuracy of the transcription service.

**Multiple language support**: Microsoft Teams' transcription service supports multiple languages, allowing users to transcribe meetings in languages other than English.

**Automated meeting notes**: Microsoft Teams' automated meeting notes feature uses AI-driven speech-to-text technology to generate a written record of the meeting, making it easier for users to review important discussion items and decisions.

**Transcription accuracy varies with speaker**: The accuracy of the transcription can vary depending on the speaker's tone, pace, and clarity of speech.

The algorithm may struggle to accurately transcribe spoken words spoken rapidly or with a heavy accent.

**Additional features and integrations**: Microsoft Teams offers additional features and integrations, such as integration with popular collaboration tools and cloud storage services, to enhance the transcription experience.

Experience error-free AI audio transcription that's faster and cheaper than human transcription and includes speaker recognition by default! (Get started for free)