LTE speaker verification system

Training compute

1.1×10⁸ FLOP

Parameters

2.1K

Published

Nov 1, 1966

LTE speaker verification system is an AI model developed by IBM (United States), first published in November 1966. It works in the speech domain, on tasks such as speech recognition (asr). It counts among the frontier models: the systems trained with the most compute of their moment.

Training it took an estimated 1.1×10⁸ FLOP of compute (estimation method: operation counting). The model has 2,061 parameters. It was trained on roughly 417 datapoints.

Epoch AI rates the confidence of this record as likely.

Full record

Organization: IBM
Country of organization: United States
Domain: Speech
Task: Speech recognition (ASR)
Training compute: 1.1×10⁸ FLOP
Compute estimation method: Operation counting
Parameters: 2,061
Dataset size: 417
Epoch confidence: Likely