163 citations · 236 across the 13 of their papers we have counts for
4 papers · 1 filter
Describing emotions with acoustic property prompts for speech emotion recognition
Hira Dhamyal, Benjamin Elizalde, Soham Deshmukh +3
Emotions lie on a broad continuum and treating emotions as a discrete number of classes limits the ability of a model to capture the nuances in the continuum. The challenge is how…
Real-Time Joint Personalized Speech Enhancement and Acoustic Echo Cancellation
Sefik Emre Eskimez, Takuya Yoshioka, Alex Ju +3
Personalized speech enhancement (PSE) is a real-time SE approach utilizing a speaker embedding of a target person to remove background noise, reverberation, and interfering voices.…
Audio Retrieval with WavText5K and CLAP Training
Soham Deshmukh, Benjamin Elizalde, Huaming Wang
Audio-Text retrieval takes a natural language query to retrieve relevant audio files in a database. Conversely, Text-Audio retrieval takes an audio file as a query to retrieve rele…
Fast Real-time Personalized Speech Enhancement: End-to-End Enhancement Network (E3Net) and Knowledge Distillation
Manthan Thakker, Sefik Emre Eskimez, Takuya Yoshioka +1
This paper investigates how to improve the runtime speed of personalized speech enhancement (PSE) networks while maintaining the model quality. Our approach includes two aspects: a…