Automated Author ProfileKimball, Owen
Kimball, Owen
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 4.8 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Introduction
Fisher English Training Part 2 Speech represents the second half of a collection of conversational telephone speech (CTS) that was created at the LDC during 2003. It contains 5,849 audio files, each one containing a full conversation of up to ten minutes. Additional information regarding the speakers involved, and types of telephones used, can be found in the companion text corpus of transcripts, Fisher English Training Part 2, Transcripts (LDC2005T19).
The Fisher telephone conversation collection protocol was created at LDC to address a critical need of developers trying to build robust automatic speech recognition (ASR) systems. Previous collection protocols, such as CALLFRIEND and Switchboard-II and the resulting corpora, have been adapted for ASR research but were in fact developed for language and speaker identification respectively. Although the CALLHOME protocol and corpora were developed to support ASR technology, they feature small numbers of speakers making telephone calls of relatively long duration with narrow vocabulary across the collection. CALLHOME conversations are challengingly natural and intimate. Under the Fisher protocol, a very large number of participants each make a few calls of short duration speaking to other participants, whom they typically do not know, about assigned topics. This maximizes inter-speaker variation and vocabulary breath while also increasing the formality.
Previous protocols such as CALLHOME, CALLFRIEND and Switchboard relied upon participant activity to drive the collection. Fisher is unique in being platform driven rather than participant driven. Participants who wish to initiate a call may do so; however the collection platform initiates the majority of calls. Participants need only answer their phones at the times they specified when registering for the study.
To encourage a broad range of vocabulary, Fisher participants are asked to speak on an assigned topic which is selected at random from a list, which changes every 24 hours and which is assigned to all subjects paired on that day. Some topics are inherited or refined from previous Switchboard studies while others were developed specifically for the Fisher protocol.
Data
The first half of the collection (Fisher English Training Speech Part 1) was released by the LDC in 2004 (LDC2004S13 for speech data, LDC2004T19 for transcripts). Taken as a whole, the two parts comprise 11,699 recorded telephone conversations.
The individual audio files are presented in NIST SPHERE format, and contain two-channel mu-law sample data; "shorten" compression has been applied to all files.
Data collection and transcription were sponsored by DARPA and the U.S. Department of Defense, as part of the EARS project for research and development in automatic speech recognition.
Samples
For an example of this corpus, please examine this audio sample.
© 2003-2005 Trustees of the University of Pennsylvania
Authors
- Cieri, Christopher ;
- Graff, David ;
- Kimball, Owen ;
- Miller, Dave ;
- Walker, Kevin
Introduction
Fisher English Training Part 2 Transcripts represents the second half of a collection of conversational telephone speech (CTS) that was created at the LDC during 2003. It consists of time-aligned transcripts for the speech contained in Fisher English Training Part 2, Speech (LDC2005S13).
The Fisher telephone conversation collection protocol was created at the LDC to address a critical need of developers trying to build robust automatic speech recognition (ASR) systems.
Previous collection protocols, such as CALLFRIEND and Switchboard-II and the resulting corpora, have been adapted for ASR research but were in fact developed for language and speaker identification respectively. Although the CALLHOME protocol and corpora were developed to support ASR technology, they feature small numbers of speakers making telephone calls of relatively long duration with narrow vocabulary across the collection. CALLHOME conversations are challengingly natural and intimate. Under the Fisher protocol, a large number of participants each calls an other participant, whom they typically do not know, for a short short period of time to discuss the assigned topics. This maximizes inter-speaker variation and vocabulary breath while also increasing formality.
Previous protocols such as CALLHOME, CALLFRIEND and Switchboard relied upon participant activity to drive the collection. Fisher is unique in being platform driven rather than participant driven. Participants who wish to initiate a call may do so however the collection platform initiates the majority of calls. Participants need only answer their phones at the times they specified when registering for the study.
To encourage a broad range of vocabulary, Fisher participants are asked to speak on an assigned topic which is selected at random from a list, which changes every 24 hours and which is assigned to all subjects paired on that day. Some topics are inherited or refined from previous Switchboard studies while others were developed specifically for the Fisher protocol.
Data
The first half of the collection (Fisher English Training Speech,Part 1) was released by the LDC in 2004 (LDC2004S13 for speech data,LDC2004T19 for transcripts). Taken as a whole, the two parts comprise11,699 recorded telephone conversations.
The individual audio files are presented in NIST SPHERE format, and contain two-channel mu-law sample data shorten compression has been applied to all files.
Data collection and transcription were sponsored by DARPA and the U.S. Department of Defense, as part of the EARS project for research and development in automatic speech recognition.
Samples
To see an example of this corpus, please examine this sample.
Portions © 2003-2005 Trustees of the University of Pennsylvania
Authors
- Cieri, Christopher ;
- Graff, David ;
- Kimball, Owen ;
- Miller, Dave ;
- Walker, Kevin
Introduction
Fisher English Training Speech Part 1 Speech represents the first half of a collection of conversational telephone speech (CTS) that was created at the LDC during 2003. It contains 5,850 audio files, each one containing a full conversation of up to 10 minutes. Additional information regarding the speakers involved and types of telephones used can be found in the companion text corpus of transcripts, Fisher English Training Speech Part 1, Transcripts (LDC2004T19).
The Fisher telephone conversation collection protocol was created at LDC to address a critical need of developers trying to build robust automatic speech recognition (ASR) systems. Previous collection protocols, such as CALLFRIEND and Switchboard-II and the resulting corpora, have been adapted for ASR research but were in fact developed for language and speaker identification respectively. Although the CALLHOME protocol and corpora were developed to support ASR technology, they feature small numbers of speakers making telephone calls of relatively long duration with narrow vocabulary across the collection. CALLHOME conversations are challengingly natural and intimate. Under the Fisher protocol, a very large number of participants each make a few calls of short duration speaking to other participants, whom they typically do not know, about assigned topics. This maximizes inter-speaker variation and vocabulary breath while also increasing formality.
Previous protocols such as CALLHOME, CALLFRIEND and Switchboard relied upon participant activity to drive the collection. Fisher is unique in being platform driven rather than participant driven. Participants who wish to initiate a call may do so; however the collection platform initiates the majority of calls. Participants need only answer their phones at the times they specified when registering for the study.
To encourage a broad range of vocabulary, Fisher participants are asked to speak on an assigned topic which is selected at random from a list, which changes every 24 hours and which is assigned to all subjects paired on that day. Some topics are inherited or refined from previous Switchboard studies while others were developed specifically for the Fisher protocol.
Data
The individual audio files are presented in NIST SPHERE format, and contain two-channel mu-law sample data; "shorten" compression has been applied to all files.
Data collection and transcription were sponsored by DARPA and the U.S. Department of Defense, as part of the EARS project for research and development in automatic speech recognition.
Samples
Please examine this sample to see an example of the data in this corpus.
© 2003-2004 Trustees of the University of Pennsylvania
Authors
- Cieri, Christopher ;
- Graff, David ;
- Kimball, Owen ;
- Miller, Dave ;
- Walker, Kevin
Introduction
Fisher English Training Speech Part 1 Transcripts represents the first half of a collection of conversational telephone speech (CTS) that was created at LDC in 2003. It contains time-aligned transcript data for 5,850 complete conversations, each lasting up to 10 minutes. In addition to the transcriptions, which are found under the trans directory, there is a complete set of tables describing the speakers, the properties of the telephone calls, and the set of topics that were used to initiate the conversations. The corresponding speech files are contained in Fisher English Training Speech Part 1 Speech (LDC2004S13).
The Fisher telephone conversation collection protocol was created at LDC to address a critical need of developers trying to build robust automatic speech recognition (ASR) systems. Previous collection protocols, such as CALLFRIEND and Switchboard-II and the resulting corpora, have been adapted for ASR research but were in fact developed for language and speaker identification respectively. Although the CALLHOME protocol and corpora were developed to support ASR technology, they feature small numbers of speakers making telephone calls of relatively long duration with narrow vocabulary across the collection. CALLHOME conversations are challengingly natural and intimate. Under the Fisher protocol, a large number of participants each calls an other participant, whom they typically do not know, for a short short period of time to discuss the assigned topics. This maximizes inter-speaker variation and vocabulary breath while also increasing formality.
Previous protocols such as CALLHOME, CALLFRIEND and Switchboard relied upon participant activity to drive the collection. Fisher is unique in being platform driven rather than participant driven. Participants who wish to initiate a call may do so, however, the collection platform initiates the majority of calls. Participants need only answer their phones at the times they specified when registering for the study.
To encourage a broad range of vocabulary, Fisher participants are asked to speak about an assigned topic chosen from a randomly generated list that changes every 24 hours. All participants that day will be assigned subjects from that list. Some topics are inherited or refined from previous Switchboard studies while others were developed specifically for the Fisher protocol.
Data
Overall, about 12% of the conversations were transcribed at LDC, and the rest were transcribed by BBN and WordWave using a significantly different approach to the task. A central goal in both sets was to maximize the speed and economy of the transcription process. This in turn involved certain aspects of mark-up detail and quality control that may have been common in previous, smaller corpora.
The LDC transcripts were based on automatic segmentation of the audio data, to identify the utterance end-points on both channels of each conversation. Given these time stamps, manual transcription was simply a matter of typing in the words for each segment and doing a rudimentary spell-check. No attempt was made to modify the segmentation boundaries manually, or to locate utterances that the segmenter might have missed. Portions of speech where the transcriber could not be sure exactly what was said were marked with double parentheses -- (( ... )) -- and the transcriber could hazard a guess as to what was said, or leave the region between parentheses blank. The LDC transcription process yields one plain-text transcript file per conversation, in which the first two lines show the call-ID and the fact that the transcript was developed at LDC. The remainder of the file contains one utterance per line (with blank lines separating the utterances), with the start-time, end-time, speaker/channel-ID and utterance text.
Data collection and transcription were sponsored by DARPA and the U.S. Department of Defense, as part of the EARS project for research and development in automatic speech recognition.
Samples
Please examine this sample to see an example of the data in this corpus.
Updates
As of 6/14/2017, 'fe_03_p1_calldata.tbl' was updated to correct mislabeled topics for some calls. All downloads made after this date will have the corrected file.
© 2003-2004 Trustees of the University of Pennsylvania
Authors
- Cieri, Christopher ;
- Graff, David ;
- Kimball, Owen ;
- Miller, Dave ;
- Walker, Kevin