AI models for audio files — transcription, diarization, speaker recognition, separation and summarization | super-gpu
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Input type — Audio files

AI models for audio files

Eleven services that read a recording and return structured output — what was said, who said it, and a cleaner track back. One file over an API, or a whole archive in a batch, on the same dedicated cluster.

The right model for the job

Our AI advisors may assist you to select the best model or pipeline for the process or offer the most efficient hardware to perform the process.

Of course, you can bring your own model to run on our hardware.

In case you like to use your on-premise servers cluster or a certain cloud we may provision the needed services and build the pipeline.

One model chosen from the catalogue, matched to your workload and hardware

AI services for audio files

Our service catalogue include vast selection of services.

Part of the services based on stable AI models and part of the services based on our native code.

Each service can use several models and methods. After a short discussion we can decide on the right pipeline for the process.

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Speech to text

Audio to text - transcription
Spoken audio transcribed with timings and confidence.
Speech language detection
The spoken language identified before anything else runs.

Speakers

Speaker diarization
Who spoke when, segmented across the recording.
Speaker recognition / verification
A voice matched against enrolled speakers you hold and control.

Signal and voice

Noise suppression / speech enhancement
Background noise removed and speech brought forward.
Speech/music source separation
Voices, music and effects split into separate tracks.
Voice cloning / custom voice TTS
A custom voice built and used to read your text.

Understanding and search

Audio classification / tagging
Recordings and segments sorted into your own label set.
Audio semantic search
Find the moment by describing it, across a whole archive.
Podcast / meeting summarization
A long recording reduced to a written brief with the key points.
Call-center analytics
Calls scored for topic, sentiment, compliance and outcome.

How to provide us audio files?

We support any OS / Encoding and format for audio files.

You can upload your audio files with SCP (behind VPN) to a URL we provide.

You can provide us URL, MQ or any API and we will pull the audio files directly from your server.

You can send a NAS or a DAS to our location.

You can use our AI services with an API.

How to get the results?

We can provide the results with SCP (behind VPN) directly to your server, to use your API for results, send you SCP (behind VPN) details to download the results or send you back the NAS/DAS you provided with the results.

Other input types