Voicemail Corpus Part II
| Item Name: | Voicemail Corpus Part II |
| Author(s): | Mukund Padmanabhan, Brian Kingsbury, Bhuvana Ramabhadran, Jing Huang, Stanley Chen, George Saon, Lidia Mangu |
| LDC Catalog No.: | LDC2002S35 |
| ISBN: | 1-58563-242-2 |
| ISLRN: | 550-933-474-715-5 |
| DOI: | https://doi.org/10.35111/d86m-x152 |
| Release Date: | November 08, 2002 |
| Member Year(s): | 2002 |
| DCMI Type(s): | Sound |
| Sample Type: | ulaw |
| Sample Rate: | 8000 |
| Data Source(s): | telephone speech |
| Application(s): | speech recognition |
| Language(s): | English |
| Language ID(s): | eng |
| Online Documentation: | LDC2002S35 Documents |
| Licensing Instructions: | Subscription & Standard Members, and Non-Members |
| Citation: | Padmanabhan, Mukund, et al. Voicemail Corpus Part II LDC2002S35. Web Download. Philadelphia: Linguistic Data Consortium, 2002. |
| Related Works: | View |
Introduction
Voicemail Corpus Part II was produced by Linguistic Data Consortium (LDC) catalog number LDC2002S35 and ISBN 1-58563-242-2. Voicemail Corpus Part II is a continuation of Voicemail Corpus Part I, LDC98S77.
Data
This publication is comprised of speech and script files, and is structured in training and evaluation data. The training data consists of 2,048 voicemail messages and the corresponding script files. The speech and script files are organized in 41 directories, each of which contains up to 50 messages. The evaluation data consists of 50 voicemail messages and 50 scripts.
The speech data is provided in sphere format it is sampled at 8 KHz, and recorded in 8-bit ulaw, totalling approximately 14 hours (406 MB) for training and 23 minutes (11 MB) for evaluation.
In addition to the individual script files, there are three files which represent a concatenation of the individual scripts: train_scripts.all and eval_scripts .all represent a concatenation of the training and evaluation script files, one file per line, each line beginning with the fileID. eval_scripts_filtered.all is a filtered version of the file eval_scripts.all, after eliminating the tagged elements () and the proper nouns marker.
Updates
A more recent version of the paper Automatic Speech Recognition Performance on a Voicemail Transcription Task (M. Padmanabhan, G. Saon, J. Huang, B. Kingsbury and L. Mangu, IEEE Transactions on Speech and Audio Processing, vol 10, number 7, pp 433-442, October 2002) is available in both PDF and PS format by email request.
Samples
Please view the following samples:
Additional Licensing Instructions
This 'members-only' corpora is available to current members who can request the data at the listed reduced-license fee. Contact ldc@ldc.upenn.edu for information about becoming a member.