About
The Cornell Phonetics Lab is a group of students and faculty who are curious about speech. We study patterns in speech — in both movement and sound. We do a variety research — experiments, fieldwork, and corpus studies. We test theories and build models of the mechanisms that create patterns. Learn more about our Research. See below for information on our events and our facilities.
10th May 2024 12:15 PM
PhonDAWG - Phonetics Lab Data Analysis Working Group
Last PhonDAWG of the Spring Semester - Sam will present Part 2 of the pitch tracking tutorial.
Location: B11 Morrill Hall, 159 Central Avenue, Morrill Hall, Ithaca, NY 14853-4701, USA
20th May 2024 09:30 AM
Practice talk by Yao Zhang
Yao will give a practice talk in the lab. It will also be on Zoom.
Location: B11 Morrill Hall, 159 Central Avenue, Morrill Hall, Ithaca, NY 14853-4701, USA28th August 2024 12:20 PM
Start of the Year Lab Meeting (Part 1)
Start-of-The Semester Lab Meeting.
Location: B11 Morrill Hall, 159 Central Avenue, Morrill Hall, Ithaca, NY 14853-4701, USA
The Cornell Phonetics Laboratory (CPL) provides an integrated environment for the experimental study of speech and language, including its production, perception, and acquisition.
Located in Morrill Hall, the laboratory consists of six adjacent rooms and covers about 1,600 square feet. Its facilities include a variety of hardware and software for analyzing and editing speech, for running experiments, for synthesizing speech, and for developing and testing phonetic, phonological, and psycholinguistic models.
Web-Based Phonetics and Phonology Experiments with LabVanced
The Phonetics Lab licenses the LabVanced software for designing and conducting web-based experiments.
Labvanced has particular value for phonetics and phonology experiments because of its:
Students and Faculty are currently using LabVanced to design web experiments involving eye-tracking, audio recording, and perception studies.
Subjects are recruited via several online systems:
Computing Resources
The Phonetics Lab maintains two Linux servers that are located in the Rhodes Hall server farm:
In addition to the Phonetics Lab servers, students can request access to additional computing resources of the Computational Linguistics lab:
These servers, in turn, are nodes in the G2 Computing Cluster, which currently consists of 195 servers (82 CPU-only servers and 113 GPU servers) consisting of ~7400 CPU cores and 698 GPUs.
The G2 Cluster uses the SLURM Workload Manager for submitting batch jobs that can run on any available server or GPU on any cluster node.
Articulate Instruments - Micro Speech Research Ultrasound System
We use this Articulate Instruments Micro Speech Research Ultrasound System to investigate how fine-grained variation in speech articulation connects to phonological structure.
The ultrasound system is portable and non-invasive, making it ideal for collecting articulatory data in the field.
BIOPAC MP-160 System
The Sound Booth Laboratory has a BIOPAC MP-160 system for physiological data collection. This system supports two BIOPAC Respiratory Effort Transducers and their associated interface modules.
Language Corpora
Speech Aerodynamics
Studies of the aerodynamics of speech production are conducted with our Glottal Enterprises oral and nasal airflow and pressure transducers.
Electroglottography
We use a Glottal Enterprises EG-2 electroglottograph for noninvasive measurement of vocal fold vibration.
Real-time vocal tract MRI
Our lab is part of the Cornell Speech Imaging Group (SIG), a cross-disciplinary team of researchers using real-time magnetic resonance imaging to study the dynamics of speech articulation.
Articulatory movement tracking
We use the Northern Digital Inc. Wave motion-capture system to study speech articulatory patterns and motor control.
Sound Booth
Our isolated sound recording booth serves a range of purposes--from basic recording to perceptual, psycholinguistic, and ultrasonic experimentation.
We also have the necessary software and audio interfaces to perform low latency real-time auditory feedback experiments via MATLAB and Audapter.