Despite its potential utility for facilitating the transcription of speech recordings, automatic
speech recognition (ASR) has not been widely explored as a tool for documenting …

Documenting endangered languages supports the historical preservation of diverse
cultures. Automatic speech recognition (ASR), while potentially very useful for this task, has …

Consider designing an effective crowdsourcing system for M-ary classification where crowd
workers complete simple binary microtasks, which are aggregated to give the final result. We …

We explore the design of an effective crowdsourcing system for an M-ary classification task.
Crowd workers complete simple binary microtasks whose results are aggregated to give the …

Acquiring labeled speech for low-resource languages is a difficult task in the absence of
native speakers of the language. One solution to this problem involves collecting speech …

As a student, I am learning knowledge with the help of teachers and the teacher play a
crucial role in our life. A wonderful instructor is able to teach a student with appropriate …

As a student, I am learning knowledge with the help of teachers and the teacher plays a
crucial role in our life. A wonderful instructor is able to teach a student with appropriate …

Recently, word embeddings have been used in many natural language processing
problems successfully and how to train a robust and accurate word embedding system …

In this last work, we did a exclusive survey related to multisense embeddings building
methods. In this work, we extend our previous work and try to improve the current methods …

It can be understood from the definition that most of the consonant landmarks correspond to
the time-points where articulator-free features change from one sign to another. The …