Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Open-set Short Utterance Forensic Speaker Verification using
  Teacher-Student Network with Explicit Inductive Bias   In forensic applications, it is very common that only small naturalistic
datasets consisting of short utterances in complex or unknown acoustic
environments are available. In this study, we propose a pipeline solution to
improve speaker verification on a small actual forensic field dataset. By
leveraging large-scale out-of-domain datasets, a knowledge distillation based
objective function is proposed for teacher-student learning, which is applied
for short utterance forensic speaker verification. The objective function
collectively considers speaker classification loss, Kullback-Leibler
divergence, and similarity of embeddings. In order to advance the trained deep
speaker embedding network to be robust for a small target dataset, we introduce
a novel strategy to fine-tune the pre-trained student model towards a forensic
target domain by utilizing the model as a finetuning start point and a
reference in regularization. The proposed approaches are evaluated on the
1st48-UTD forensic corpus, a newly established naturalistic dataset of actual
homicide investigations consisting of short utterances recorded in uncontrolled
conditions. We show that the proposed objective function can efficiently
improve the performance of teacher-student learning on short utterances and
that our fine-tuning strategy outperforms the commonly used weight decay method
by providing an explicit inductive bias towards the pre-trained model.

6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics
30
The categories of this paper are: q-alg
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
24
The categories of this paper are: dg-ga
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
32
The categories of this paper are: atom-ph
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph