Search Results for author:
Found 12 papers, 6 papers with code
PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping
3D scene stylization refers to transform the appearance of a 3D scene to match a given style image, ensuring that images rendered from different viewpoints exhibit the same style as the given style image, while maintaining the 3D consistency of the stylized scene.
DiarizationLM: Speaker Diarization Post-Processing with Large Language Models
In this paper, we introduce DiarizationLM, a framework to leverage large language models (LLM) to post-process the outputs from a speaker diarization system.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank
To address the above issues, we propose ArtBank, a novel artistic style transfer framework, to generate highly realistic stylized images while preserving the content structure of the content images.
Towards Word-Level End-to-End Neural Speaker Diarization with Auxiliary Network
Whether it is the conventional modularized approach or the more recent end-to-end neural diarization (EEND), an additional automatic speech recognition (ASR) model and an orchestration algorithm are required to associate the speaker labels with recognized words.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
USM-SCD: Multilingual Speaker Change Detection Based on Large Pretrained Foundation Models
We show that the USM-SCD model can achieve more than 75% average speaker change detection F1 score across a test set that consists of data from 96 languages.
Selective inference using randomized group lasso estimators for general models
Selective inference methods are developed for group lasso estimators for use with a wide class of distributions and loss functions.
Augmenting Transformer-Transducer Based Speaker Change Detection With Token-Level Training Loss
Due to the sparsity of the speaker changes in the training data, the conventional T-T based SCD model loss leads to sub-optimal detection accuracy.
Highly Efficient Real-Time Streaming and Fully On-Device Speaker Diarization with Multi-Stage Clustering
While recent research advances in speaker diarization mostly focus on improving the quality of diarization results, there is also an increasing interest in improving the efficiency of diarization systems.
Parameter-Free Attentive Scoring for Speaker Verification
This paper presents a novel study of parameter-free attentive scoring for speaker verification.
Attentive Temporal Pooling for Conformer-based Streaming Language Identification in Long-form Speech
In this paper, we introduce a novel language identification system based on conformer layers.
Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection
In this paper, we present a novel speaker diarization system for streaming on-device applications.
Synth2Aug: Cross-domain speaker recognition with TTS synthesized speech
In recent years, Text-To-Speech (TTS) has been used as a data augmentation technique for speech recognition to help complement inadequacies in the training data.
