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AI Speaker Separation for Meeting Transcripts

Automatically identify who said what during multilingual conversations, then rename or reassign speakers for clearer meeting records.

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Transync AI Speaker Separation showing color-coded speaker labels on desktop and mobile during a multilingual meeting.

Know who said what in multilingual meetings

Speaker Separation automatically organizes conversations by speaker, so teams can follow discussions more easily during live translation and review cleaner records afterward.

Color-coded speaker labels displayed in Transync AI real-time translation on desktop and mobile.

Enable Diarization Beta from the Transync AI translation panel on desktop and mobile.

Automatic identification

Automatically identify different speakers

Menyalakan Diarization (Beta) from the translation panel before the conversation starts. Transync AI then labels different speakers automatically with clear, color-coded names such as Speaker 1, Speaker 2, and Speaker 3.

Speaker labels appear during live translation, remain available in the saved record, and are also shown in the AI-generated meeting summary, making it easier to see who contributed each key point.

Clearer records

Rename speakers for easier review

Replace generic labels with a person’s name or role, such as Jessica, Host, Interviewer, or Customer. A renamed speaker is updated across the meeting record, making long discussions easier to scan and share.

You can also adjust speaker colors to make individual voices easier to distinguish.

Rename an identified speaker and manage speaker colors in Transync AI meeting records.

Reassign a transcript segment to the correct speaker in Transync AI on desktop and mobile.

Flexible correction

Reassign a transcript segment when needed

If a transcript segment is assigned to the wrong person, open Change Speaker and choose the correct speaker. This gives you a practical way to clean up the record without rewriting the conversation.

Review speaker assignments before sharing records or using them in meeting follow-up workflows.

Designed for conversations with multiple voices

Multilingual team members discussing ideas during an office meeting

Rapat tim

Follow decisions and contributions across multilingual discussions.

Interviewer and candidate speaking during an office interview

Wawancara

Separate interviewer and guest responses for faster review.

University students participating in a classroom discussion

Kelas dan kuliah

Keep questions and responses organized in learning sessions.

Business professional speaking with customers during an office consultation

Percakapan pelanggan

Clarify who raised each request, concern, or follow-up item.

Tanya Jawab Umum

AI Speaker Separation, also known as speaker diarization, identifies different voices in a conversation and labels transcript segments by speaker.

Open the translation panel before starting a task and turn on Diarization (Beta). The option is available when you use a supported Monsoon model.

Yes. Open the speaker menu and rename a generic label such as Speaker 1 to a person’s name or role. The new name is applied across the meeting record.

Yes. Select the transcript segment, open Change Speaker, and assign it to the correct speaker.

Speaker labels can appear during live translation and in the saved translation record, so you can follow the discussion in real time and organize it afterward.

The feature is still being improved. Speaker assignments should be reviewed when recordings contain overlapping speech, background noise, or similar voices.

Make every voice easier to follow

Use Speaker Separation with Terjemahan Waktu Nyata Dan Catatan Rapat AI to create clearer multilingual meeting records.

Jawaban singkat

Quick answers about Speaker Separation

Short answers about speaker labels, diarization, transcript editing, saved records, and Beta accuracy.

What is Speaker Separation?

Speaker Separation, also called speaker diarization, identifies different voices and labels transcript segments so you can see who said what during multilingual conversations.

Terbaik untuk

Best for team meetings, interviews, classes, lectures, and customer conversations where several people speak and the record needs clear speaker attribution.

Cara kerjanya

Turn on Diarization (Beta) before starting a supported translation task. Transync AI automatically assigns color-coded labels such as Speaker 1 and Speaker 2.

During live translation

Speaker labels can appear while people are speaking, making it easier to follow multilingual discussions with several voices in real time.

In saved records

The labels remain in the saved translation record so you can review contributions, decisions, questions, and follow-up items after the conversation.

Rename and correct speakers

You can replace generic labels with names or roles, adjust speaker colors, and use Change Speaker to reassign a transcript segment when needed.

Beta accuracy

Speaker Separation is still being improved. Review assignments when conversations include overlapping speech, background noise, or similar-sounding voices.