Lena Koscielny

Deepfake fraud attempts exploded 1,300% in 2024, overwhelming traditional detection methods.

Netflix and Amazon's stumbles show audiences want AI dubbing's access, not its shortcuts.

Voiceprints cannot be reset after a breach, making audio compliance a permanent-record problem.

Fine-tuning adapts speech models to medical and legal vocabularies where general models fail.

Proper punctuation and casing, not model architecture, fix downstream NLP.

Transcription errors compound across multilingual centers, breaking every analysis built on top.

Hidden fees and pricing models can multiply TTS costs four times over at scale.

Different conditions require different TTS approaches—one solution doesn't work for both.

Quality and brand voice consistency matter more than language count when scaling globally.

Fast components don't guarantee a fast system when they run in sequence.

Voice biometrics replaces security theater with real authentication in customer service.

Latency and voice quality determine whether callers stay on the line to accomplish anything.