Welcome to Rio's project wiki subsite. This exists as a means to facilitate communication and accountability during the completion of a project.

Current projects

Wi-Fi module for remote appliance control

Progress: In progress
This senior design project will involve a module that will be able to control appliances using a wireless local area network (WLAN).

Find out more detail here

Past Projects

Foreign accented speech transcription and accent recognition using a game-based approach

Progress: Completed
We introduce the Foreign Accented Speech Transcription Game (FASTGame), a game designed to elicit normalized orthographic transcriptions of foreign accented speech using naive listeners on Facebook.

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Measuring online news similarity and relevance using tf-idf

Progress: Completed
A similarity and relevance measure is proposed and implemented as a way to further refine online news aggregation using both headlines as well as news content. tf-idf is used as a key method for determining intradocument similarity as well as overall news relevance.

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Speech recognition

Progress: Completed
The current implementation uses script written by Travis Doll that extracts the Mel-frequency cepstral coefficients (MFCCs) and "trains" the data set on two of the eight region-specific directories of the TIMIT corpus. In order to identify the speaker of a test wav file, the KL distance is compared and the one with the minimum distance is returned, with varying results shown below.

Find out more detail here.

Phoneme analysis

Progress: Completed
Using Praat to extract the boundaries of a phoneme given in the TIMIT corpus and plotting the spectrogram/formants and also outputting a file with the numerical values.

Predicting DNA Coding Regions using DSP Methods

Since the exons or coding regions of DNA sequences are initially not known, given the constraints on the start and stop codons, the period-three nature of DNA can be exploited to predict these exon regions using conventional DSP methods.

Examining F0 declination in TIMIT

It is known that there is a natural tendency for speakers in both tonal and non-tonal languages to have F0s decline over the course of an utterance. The purpose of this project is to examine the nature of F0 declination in the 63 speakers of the TIMIT corpus by running statistical models against the duration of the sentences, the number of words, as well as other factors.