Stanford University

Spoken Language Processing (CS224S) Final Project Poster Session

You're invited! You are warmly invited to the CS224S (Spoken Language Processing) poster session, which will be held this Tuesday, June 7th, from 4:30-7:00PM in AT&T Patio on the Stanford University campus.

About 160 students in CS224S will be presenting 53 projects related to spoken language processing. These projects cover a wide variety of different topics.


CS224S is a graduate-level course on various topics in spoken language processing. Students engage in a final project of their choosing. The list of projects below shows the amazing range of problems which can be solved using spoken language processing techniques. We encourage you to come see the posters and discuss with students how spoken language processing can impact your areas of interest.


End to End Neural Text to Speech Synthesis
Alex Barron

Improving neural network models for source separation
Mark Kwon, Simon Kim, Sunmi Lee

Confidence Detection in Human Conversations
Rooz Mahdavian, Sanjay Kannan

Accent Classification & Representation Learning
Kelsey Josund, Gawan Fiore, Amy Bearman

Depression Chatbot
Reid Pryzant

Storytime - Deep Learning for Narration Speech Synthesis
Pierce Freeman, Ethson Villegas, John Kaleialoha Kamalu

Spoken Text-based Native-language Identification
Dilsher Ahmed, Long-Huei Chen, Kunmi Oluwafemi Jeje

End-to-End Training of a Speech Recognizer Neural Network with a Chaotic Speech Synthesizer
Faraz Fadavi, Sam Ginn

Doc? A Medical Diagnosis Bot"
Monica Agrawal, Janette Cheng, Caelin Tran

Neural Lie Detection
Zachary Maurer, Max Siegelman, Shloka Desai

End-to-end neural networks for subvocal speech recognition
Pol Rosello, Pamela Toman, Nipun Agarwala

Embedded End-to-End Neural Speech Recognition
Stephen Koo, Priyanka Nigam, Darren Baker

Quick Stress Relief with Interactive Chatbot
Junjie Ke, Yiwei Zhao, Honghao Wei

Transcribing song lyrics by eliminating background instrumental noise
Diveesh Singh, Mindy Yang, Helen Jiang

VitiBot / Conversational Agent
Ivan Suarez Robles, Stephanie Tang, Jim Andress

Disease Prediction through Acoustic Modeling
Frank Cipollone, Mila Schultz, Hugo Kitano

Predicting Confidence in Speech
Catherina Xu, Grace Young, Isabella Cai

Predicting Dialogue Act Labels in Group Conversations to Investigate Indicators for Productivity
Connie Zeng, Aaron Loh, Ethan Chan

Rappify: Adding Rhythm to Speech
Jacob Conrad Trinidad, Ian Torres

Native Language Identification
Jennifer Lu, Kai-Chieh Huang, Wayne Lu

Real-Time Speaker Diarization and Tracking System
Nikhil Bhattasali, Chaitanya Asawa, Allan Jiang

Modeling intonation in Text-to-Speech synthesis with phrasal prosodic features
Aleksander Główka, Kevin Garbe

Laughbot: Predicting Humor in Spoken Language with Text and Audio Cues
Annie Hu, Natalie Muenster, Kate Park

End-to-End Memory-Enhanced Neural Architectures for Automatic Speech Recognition
Amani V. Peddada, Lindsey Kostas

Confidence in Conversation
Grady Williams, Grant Sivesind, Bryan McLellan

Jeffrey Yu, Neel Ramachandran

Adversarial Examples in ASR
Dan Iter, Jade Huang, Mike Jermann

The Effect of Disfluencies on Turn-Taking in Conversation
Lucy Li, Divya Saini, Kartik Sawhney

Detecting Personality Traits in Conversational Speech
Liam O'Hart Kinney, Anna Wang, Jessica Zhao

Recognizing lyrics within songs OR using speeches to determine quality of political candidates
Tyler Dammann, Regina Nguyen

Visualization of Diaglogue and Compatability
Chris Salguero, Anna Teixeira, Ramin Ahmari

Automated Speech Recognition + Reinforcement Learning
Austin Ray, Vignesh Venkataraman, Do-Hyoung Park

Improving Forced Alignment Using NNets and an Enriched Lexicon
Stephanie Mallard, Ryan Silva, Christopher Liu

Disease Recognition from an acoustic model
Hugo Kitano, Frank Cipollone, Mila Schultz

Deep RNN Speech Recognition with Sub-Label and Constrained CTC
Yangxin Zhong, Qixiang Zhang, Jiayu Wu

Text-to-speech Synthesis System based on WaveNet
Yuan Li, Xiaoshi Wang, Shutong Zhang

Improving Forced Alignment with Enriched Lexicons
Addison Leong, Antariksh Mahajan, Vivian Hsu

Confidence Identification in Human to Human Conversational Speech
Wei-ting Hsu, Yundong Zhang, Qiwen Fu

Detecting & Artistically Representing Romantic Compatibility in Human Dialogue
Anna Teixeira, Christopher Salguero, Ramin Ahmari

Speech synthesis (subject to change)
Kevin Chin, Delenn Chin, David Morales

Can You Read Me Now?: An Emotional Speech Detector/Finds what the emotion behind the speech is
Alisha Rege, Anusha Balakrishnan

Natural Language Identification
Ben Ulmer, Nolan Walsh, Aojia Zhao

A Voice control system for text-based games
Aaron Brackett, Tony Tan-Torres, Gerry Meixiong

Analyzing Stock Performance with Spoken Language Processing on Earnings Calls
Maneesh Apte, Teddy Morris-Knower, Shalom Rottman-Yang

A conversational agent system in the domain of boba fruit and tea drinks orders
Charles Akin-David, David Xue, Evelyn Mei

Learning Deep Audio Spectral Mappings
Michelle Guo, Albert Haque

Native Language Identification
Roger Chen, Kenny Leung

Identifying Speaker Confidence in Conversations
Ma Francesca Luisa Vera, Aaron Zweig

NATLID : Native Language Identification
Ankita Bihani, Anupriya Gagneja, Mohana Prasad Sathya Moorthy

Predicting Startup Funding Success Based On Shark Tank Audio
Minna Xiao, Jeremy Wood, Shubha Raghvendra

Accent Classification
Albert Chu, Diana Dan Khanh Le, Peter Hieu Trung Lai

Detecting & Artistically Representing Romantic Compatibility in Human Dialogue
Ramin Ahmari, Anna Teixeira, Chris Salguero

Applying backoff to concatenative speech synthesis
Luladay Price, Lily Liu, Andrew Zhang

Natural Language Identification
Greg Ramel, Kent Blake, Matthew Volk

Detecting Lies via Speech Patterns
John Louie, Amanda Yuling Chow

Acoustic Style Transfer
Archa Jain, Chris Proctor, Anthony Perez

Statistical Learning Methods for Native Language Identification
Frank Fan, Tony Bruess, Brexton Pham

Exploring methods for Native Language Identification
Boğaç Kerem Goksel, Chip Huyen, and Ishan Somshekar

Classification and Recognition of Stuttered Speech
Kevin Dara Khieu, Manu Chopra, Thomas Liu

Improving Forced Alignments
Frank Zheng, Christina Ramsey


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