Separate Overlapping Speakers
When two people talk over each other on one track, this tool pulls the dominant voice forward and reduces the overlap, making cross-talk easier to follow and transcribe.
AI model Wannan kayan aiki na tafiyar da wani nau'in AI na halitta a kan GPU, don haka yana ɗaukar lokaci mai tsawo fiye da sifofin da aka yi a hankali. Free to try; paid plans get priority on the GPU.
Yadda yake aiki
Overlapping speech is separated by source so the foreground speaker is isolated from the competing voice and room. The result is a clearer single-speaker track from a messy cross-talk recording.
What it's good for
- Cross-talk a cikin hira
- Single-mic two-person recordings
- Cleaning up debate audio
- Transcription prep for overlap
Details
- Mai Gudanarwa
- Mel-Band RoFormer
- Formats
- MP3, WAV, M4A, FLAC, OGG, AAC
- Price
- Free to try
Tambayoyi da ake yi da yawa
It isolates the dominant near-field speaker and suppresses the overlap. Full per-speaker diarization into separate tracks is on our roadmap; today it cleans the foreground voice.
Yes — reducing the competing voice and room makes speech-to-text far more accurate on overlapping sections.
Recordings where your target speaker is closest to the mic separate best, since proximity gives the model a strong foreground cue.
An gina rarrabuwar masu magana da yawa don muryoyi biyu suna magana a kan juna a kan wani tsari mai tsabta, yayin da fitar da mai magana da magana ke fitar da wani murya daga wani abu mai zurfi na muryoyi, kiɗa da zafi.
An yi amfani da shi a cikin waƙoƙi biyu da suka hada da: "Ina son ka" da "Ina son ka" da kuma "Ina son ka" da kuma "Ina son ka" da kuma "Ina son ka".
A typical interview segment processes in under a minute, scaling with clip length rather than with how much overlap there is.
Equal-volume voices are the hardest case and leave more of the competing speaker behind; the tool performs best when your target is clearly the closer, louder voice.