End-to-end architecture improves the scalability and performance of machine learning models for speech transcription to serve enterprise contact center needs better. Read more
Wav2vec could be more efficient, so we created our own pre-trained ASR Model for better Conversational AI.
Wav2vec 2.0 is arguably the most popular approach for using self-supervised training in speech, but it could be more efficient. We introduce SEW for better efficiency and performance. Read more
CX teams can identify and react to unexpected customer behavior faster using ASAPP anomaly detection. Learn what makes our models so effective. Read more
Unlock insights to answer any business question. ASAPP offers customers access to an unparalleled breadth of data. Watch now
New ASAPP research introduces an orthogonal technique that augments existing data to train better out of scope detectors operating in low-data regimes. Read more