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autobi

Automatic prosodic annotation tool written in Java.

batch-processing-to-downsample-audio-files

Batch processing to downsample Audio files

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

emotion_plot

jl-corpus

For further understanding the wide array of emotions embedded in human speech, we are introducing an emotional speech corpus. In contrast to the existing speech corpora, this corpus was constructed by maintaining an equal distribution of 4 long vowels in New Zealand English. This balance is to facilitate emotion related formant and glottal source feature comparison studies. Also, the corpus has 5 secondary emotions along with 5 primary emotions. Secondary emotions are important in Human-Robot Interaction (HRI), where the aim is to model natural conversations among humans and robots. But there are very few existing speech resources to study these emotions,and this work adds a speech corpus containing some secondary emotions.

marytts

MARY TTS -- an open-source, multilingual text-to-speech synthesis system written in pure java

take-home-test-for-digital-signal-processing-course

This repository contains the the resources and test questions for a Digital Signal Processing course developed in 2020. A take-home practical test was designed as an alternative to a traditional in-class paper-based test. Students were familiarised with a database with 480 speech signals during the weeks before the test. During the test, students were given the freedom to choose any five speech signals from the database. This free-choice encourages learner autonomy by requiring students to take the first steps of responsibility for their learning. A beneficial consequence is that this free-choice increases the chance that every student gets a different subset of speech signals to work with. This effectively eliminates the opportunity for plagiarism, as two or more students working on the same subset will only raise immediate suspicion of potential plagiarism. Such an approach avoids the necessity of invigilation, which is beneficial due to restrictions imposed by Covid-19. The take-home test gives the educator a chance to evaluate practical skills taught in the course (like the implementation of signal processing), that would not normally be possible in an in-class paper-based test. The questions given were aimed towards higher-order thinking, focussing more on applying the theory learned in class. To assist other educators in producing similar assessments for their courses, the speech signal database has been open-sourced along with the resources needed for this test. This test is designed for a take-home test scenario.