Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Transfer Learning from Adult to Children for Speech Recognition:
  Evaluation, Analysis and Recommendations   Children speech recognition is challenging mainly due to the inherent high
variability in children's physical and articulatory characteristics and
expressions. This variability manifests in both acoustic constructs and
linguistic usage due to the rapidly changing developmental stage in children's
life. Part of the challenge is due to the lack of large amounts of available
children speech data for efficient modeling. This work attempts to address the
key challenges using transfer learning from adult's models to children's models
in a Deep Neural Network (DNN) framework for children's Automatic Speech
Recognition (ASR) task evaluating on multiple children's speech corpora with a
large vocabulary. The paper presents a systematic and an extensive analysis of
the proposed transfer learning technique considering the key factors affecting
children's speech recognition from prior literature. Evaluations are presented
on (i) comparisons of earlier GMM-HMM and the newer DNN Models, (ii)
effectiveness of standard adaptation techniques versus transfer learning, (iii)
various adaptation configurations in tackling the variabilities present in
children speech, in terms of (a) acoustic spectral variability, and (b)
pronunciation variability and linguistic constraints. Our Analysis spans over
(i) number of DNN model parameters (for adaptation), (ii) amount of adaptation
data, (iii) ages of children, (iv) age dependent-independent adaptation.
Finally, we provide Recommendations on (i) the favorable strategies over
various aforementioned - analyzed parameters, and (ii) potential future
research directions and relevant challenges/problems persisting in DNN based
ASR for children's speech.

21
The categories of this paper are: adap-org
35
The categories of this paper are: mtrl-th
26
The categories of this paper are: bayes-an
13
The categories of this paper are: quant-ph
3
The categories of this paper are: physics
7
The categories of this paper are: hep-th
12
The categories of this paper are: nucl-th
27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
2
The categories of this paper are: math
9
The categories of this paper are: nlin