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Ryan Langman

2 accepted papers

2025

Low Frame-rate Speech Codec: a Codec Designed for Fast High-quality Speech LLM Training and Inference

ICASSP 2025accepted

Large language models (LLMs) have significantly advanced audio processing through audio codecs that convert audio into discrete tokens, enabling the application of language modeling techniques to audio data. However, audio codecs often operate at high frame rates, resulting in slow training and infe…

Cited by 0SourceScholar
2022

Improving Fairness in Speaker Verification via Group-Adapted Fusion Network

ICASSP 2022accepted

Modern speaker verification models use deep neural networks to encode utterance audio into discriminative embedding vectors. During the training process, these networks are typically optimized to differentiate arbitrary speakers. This learning process biases the learning of fine voice characteristic…

Cited by 0SourceScholar