Voice Focus 1.1 Benchmark Evaluation
This notebook presents a comprehensive evaluation of Voice Focus 1.1 against Krisp BVC and Krisp BVC telephony across two datasets.
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This notebook presents a comprehensive evaluation of Voice Focus 1.1 against Krisp BVC and Krisp BVC telephony across two datasets.
As the world’s most widely adopted AI-avatar platform, Synthesia helps teams turn simple text into engaging videos in minutes. Voice
We talk about Word Error Rate a lot. It’s one of our key metrics in developing and launching new audio
Here at ai-coustics, our mission is to empower developers to build Voice AI that actually works. Our real-time speech enhancement
The ai-coustics SDK is a key part of the pipeline for anyone working in Voice AI. Through its Quail model,
Real-world audio rarely behaves the way AI systems expect. A second voice enters in the background, a nearby conversation bleeds
Speech-to-text (STT) is a crucial element of any voice AI solution. Part of the general Automatic Speech Recognition (ASR) toolbox,
Speech-to-Text (STT) or Automatic Speech Recognition (ASR) systems perform well in controlled lab conditions, but real-world audio is anything but
Leading voice agent developers and providers agree on one core challenge facing the industry: voice AI tends to break down
This notebook presents a comprehensive evaluation of Voice Focus 1.1 against Krisp BVC and Krisp BVC telephony across two datasets. The analysis includes representative examples and quantitative metrics based on internal development as of February 5, 2025.
As the world’s most widely adopted AI-avatar platform, Synthesia helps teams turn simple text into engaging videos in minutes. Voice cloning sits at the heart of the experience. As the product scaled and adoption grew, it became clear that how…
We talk about Word Error Rate a lot. It’s one of our key metrics in developing and launching new audio enhancement models to improve Voice AI performance. In particular, WER makes a massive difference when it comes to evaluating performance…
Here at ai-coustics, our mission is to empower developers to build Voice AI that actually works. Our real-time speech enhancement SDKs fix audio input for voice agents, conferencing solutions, and much more. Today, we’re introducing and explaining our new naming…
The ai-coustics SDK is a key part of the pipeline for anyone working in Voice AI. Through its Quail model, the SDK provides real-time voice enhancement solutions that improve your STT, VAD, and overall speech quality, while also reducing Word…
Real-world audio rarely behaves the way AI systems expect. A second voice enters in the background, a nearby conversation bleeds into the signal, or speech from a TV slips through. Add to that the usual challenges of background noise, reverberation,…
Speech-to-text (STT) is a crucial element of any voice AI solution. Part of the general Automatic Speech Recognition (ASR) toolbox, STT transcribes spoken words to text, making it possible for voice agents and other Voice AI tools to respond.
Speech-to-Text (STT) or Automatic Speech Recognition (ASR) systems perform well in controlled lab conditions, but real-world audio is anything but controlled. Background noise, reverb, accents and low-quality microphones disrupt the acoustic cues these models depend on. Many teams attempt to…
Leading voice agent developers and providers agree on one core challenge facing the industry: voice AI tends to break down in the real world. Faced with background voices in a bustling café or busy call center, challenged by traffic or…
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