WGBH Comments to the FCC re Captioning

November 25, 2010 § 1 Comment

Public Comments – thank you WGBH from the CCAC:

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Before the
Federal Communications Commission
Washington, D.C. 20554
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In the Matter of )
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Closed Captioning of Video ) CG Docket No. 05-231
Programming ) ET Docket No. 99-254
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COMMENTS OF THE
WGBH NATIONAL CENTER FOR ACCESSIBLE MEDIA
(NCAM)
November 24, 2010
Submitted By:
Larry Goldberg and Marcia Brooks
WGBH National Center for Accessible Media
One Guest Street
Boston, MA 02135
The WGBH Educational Foundation’s National Center for Accessible
Media (NCAM) hereby submits comments on the Commission’s
Pleading Cycle to refresh the record in the proceeding noted above
concerning the Commission’s Closed Captioning Rules.
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Summary:
1. The FCC has asked for comment on whether the Commission
should establish quality standards for non-technical aspects of
closed captioning, including the accuracy of transcription, spelling,
grammar, punctuation and caption placement, what the adoption
of such standards would cost to programmers and distributors,
whether the captioning pool consists of an adequate number of
competent captioners to meet a non-technical quality standard
mandate, and whether different captioning quality standards
should apply to live and pre-recorded programming.
2. The FCC has asked for comment to refresh the record regarding
the need for mechanisms and procedures, over and above the
“pass through” rule, to prevent technical problems from occurring
and to expeditiously remedy any technical problems that do arise,
including current and proposed obligations for video programming
distributors to monitor and maintain their equipment and signal
transmissions.
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3. The FCC has asked for additional comment on whether to
establish specific per violation forfeiture amounts for noncompliance
with the captioning rules, and if so, what those
amounts should be, and whether video programming distributors
(VPDs) should be required to file closed captioning compliance
reports.
4. Since filing comments on this proceeding on November 10, 2005,
the WGBH National Center for Accessible Media (NCAM) has
conducted significant research and development that now
advances the Commission’s ability to establish quality standards.
NCAM believes the Commission should indeed establish
standards for non-technical quality of closed captioning.
Introduction
5. The WGBH Educational Foundation is one of the country’s
leading public broadcasters and has long considered one of its
central missions to be increasing access to media for people with
disabilities.
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6. WGBH’s commitment to accessible information began in 1971
through establishment of The Caption Center, the world’s first
captioning agency, to produce captions for TV programs so that
deaf and hard-of-hearing viewers could gain equal access to those
programs. Today, The Caption Center is part of WGBH’s Media
Access Group and produces captions and subtitles for every facet
of the television and home video industry. The Media Access
Group additionally services the theatrical film industry, museums
and theme park attractions.
7. The WGBH Media Access Group also houses WGBH’s
Descriptive Video Service ® (DVS ®) which makes television
programs and movies accessible to people who are blind and
visually impaired. WGBH developed DVS in 1990 and continues to
lead the world in creating accessible electronic media for people
with disabilities.
8. The WGBH National Center for Accessible Media was founded in
1993 to build on WGBH’s knowledge base in the field of access
technologies. NCAM is a research and development facility
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dedicated to addressing barriers to media and emerging
technologies for people with disabilities in their homes, schools,
workplaces, and communities.
9. These comments expand upon comments The WGBH National
Center for Accessible Media previously submitted in November
2005 on the Commission’s Notice of Proposed Rule Making
concerning the closed captioning of television programs.
Non-technical Quality Standards for Closed Captioning – The
Marketplace Has Still Not Corrected Problems
10. Caption errors continue to be pervasive, especially as the use
of Automatic Speech Recognition (ASR) – a technology not ready
to be used for real-time captioning – is becoming more common.
The lack of a common way to measure accuracy may have held
back establishment of quality requirements in the past, but with
newly developed technology created by WGBH/NCAM’s
innovators with significant input from caption users, deaf education
experts, and with measurement parameters developed by the
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National Institute of Standards and Technology (NIST)1 and
National Court Reporters Association (NCRA)2, the FCC can now
set fair levels of expected performance.
11. NCAM is developing a prototype automated caption accuracy
assessment system that will identify, rank and report on the
frequency and severity of caption errors through its Caption
Accuracy Metrics project (funded by the National Institute on
Disability and Rehabilitation Research, U.S. Department of
Education, #H133G080093-10)3.
Current State of Caption Accuracy Measurement
12. Accuracy measurements are traditionally based on the model
used at the National Institute of Standards and Technology (NIST).
This approach identifies the differences between a test transcript
(in this case, a caption text file) and a clean reference transcript,
often called the “ground truth” transcript, which accurately reflects
1 NIST: http://www.nist.gov
2 NCRA: http://www.ncraonline.org/
3 Caption Accuracy Metrics project:
http://ncam.wgbh.org/invent_build/analog/caption-accuracy-metrics
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what was spoken. The two transcripts are aligned and errors are
categorized as:
• Substitutions – words in the test transcript that are different
from the reference transcript;
• Deletions – words that are in the reference transcript but are
omitted from the test transcript; and
• Insertions – words that are added to the test transcript but
are not in the reference transcript.
The total number of these errors is divided by the total word count of
the reference transcript to calculate a Word Error Rate. An accuracy
rate is 100% minus the error rate. Accuracy rates for most caption
text range from 85 to 95% by this measure, with lower accuracy
usually due to more extensive deletion of text.
Caption agencies have used a different approach to error reporting
for live stenocaptioning. Court reporting software used by most
captioners identifies “untranslates” – words that do not have a match
in the stenocaptioner’s dictionary. These reflect a portion of the
substitutions that would be found in the caption file but they do not
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typically identify deletions or insertions. Accuracy rates for caption
text by this measure usually fall in the 97-99% range.
Quality Standards Informed by NCAM Research and
Development
13. Technical development to date for the Caption Accuracy
Metrics project demonstrates a proof of concept that text-based
data mining and automatic speech recognition technologies can
produce meaningful data about stenocaption accuracy that meets
the need for caption performance metrics.
14. Further, it is now possible to quantify the severity of specific
caption error types and to specify the degree to which each error
type makes a caption hard to follow, using data from a national
consumer research web-based survey the Caption Accuracy
Metrics project conducted in Spring 2010 that yielded over 350
responses from caption viewers. Caption viewers were presented
with actual caption error samples representing 17 different error
types, and they ranked the severity of each error type. The survey
results provide valuable data about how to rank the severity of the
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17 types of errors evaluated through this survey. The summary
consumer research report will be available in December 2010 at
the Caption Accuracy Metrics project website.
15. Combining the research and development as noted above, it is
now possible to generate an accuracy report per program that
estimates the level of caption accuracy using Automatic Speech
Recognition (ASR). This process occurs after the real-time
captioned program is broadcast and is not utilizing ASR to
generate captions.
Further Definitions of Caption Accuracy
16. NCAM developed a caption error ontology that identifies 17
caption error types sub-categorized by the major three error types
identified by the National Institute of Standards and Technology
(insertions, substitutions and deletions), and assigns a severity
ranking informed by the consumer research data. This ontology
addresses many of the questions identified by the FCC such as
spelling, grammar, and punctuation. The ontology and the severity
ranking for each error type are expanded upon in the Caption
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Accuracy Metrics survey report, which notes there is a wide range
of error types in real time captioning and they are not all equal in
their impact to caption viewers. Treating all substitution and
deletion errors the same does not provide a true picture of caption
accuracy. The least offensive errors were judged to be simple
“substitutions” like the wrong tense and punctuation; however,
substituting pronouns and/or nominals for proper names were also
judged to significantly impact viewers’ understanding.
17. In September 2010, The Caption Accuracy Metrics project
convened a technical review panel consisting of many of the major
stakeholders in caption quality (including broadcast and cable
television networks, caption vendors, deaf education experts, and
the National Court Reporters Association). There was wide
consensus that each sector would fully support defined caption
quality standards, but only if there is full and equitable compliance
across the range of industry stakeholders. NCAM believes it is the
FCC’s role to define and ensure compliance with caption quality
standards.
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18. NCAM believes that the Commission should include and define
caption placement requirements in its caption accuracy standards.
Through research and development NCAM conducted for its
Access to Locally-Televised Onscreen information project (funded
by the U.S. Department of Education, National Institute on
Disability Research and Rehabilitation, grant #H133G070278)4,
NCAM developed a prototype system that demonstrates the ability
to automatically resolve display conflicts between captions and onscreen
graphics. By developing methods of prioritizing text and
graphics messages within automated display systems, the system
automatically relocates closed captions so they are not obscured
by emergency information (also known as “crawls”) located on the
screen. Note that the system also automatically translates the text
in the emergency crawls to speech, for viewers who are blind or
low-vision.
4 Access to Locally Televised On-Screen Information
http://ncam.wgbh.org/invent_build/analog/onscreen
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Establishment of Reporting Requirements and Non-Compliance
Forfeiture Amounts
19. The FCC has asked for additional comment on whether to
establish specific per violation forfeiture amounts for noncompliance
with the captioning rules, and if so, what those
amounts should be, and whether video programming distributors
(VPDs) should be required to file closed captioning compliance
reports. NCAM believes that the Commission should establish and
enforce VPD reporting requirements that are developed in parity
as appropriate with other existing FCC reporting requirements
where a structure to manage reporting requirements exists or has
been defined (e.g., telecommunications industry network outage
reports, etc.). Because the marketplace has not significantly
corrected caption quality problems, and because the means by
which to define and measure caption quality standards are being
established, further examination of forfeiture amounts – perhaps
tied to compliance reporting requirements – is recommended.
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Cost of Adoption of New Caption Standards
20. From the Caption Accuracy Metrics technical review panel,
which represents a wide range of stakeholders in caption quality, it
is apparent that many video program distributors (VPDs) and
captioning agencies are already monitoring caption quality to
some degree, and in some cases service level agreements exist
between television networks and their caption vendors. However,
there is not a standard way to define or measure caption quality.
Many panel members agreed that an automated system of caption
quality monitoring would in many cases ultimately decrease the
cost of monitoring caption accuracy and levels of service they are
currently tracking through labor-intensive, manual means. If the
Commission indeed sets caption quality standards, all
stakeholders — VPDs and caption agencies who are already
tracking accuracy levels as well as those who do not currently
have an established means to do — so will be at an advantage,
given the likelihood of having access to an automatic system to
measure caption accuracy. The upfront costs of such a system are
yet to be determined, but are likely to ultimately be a far more
cost-effective option than manual monitoring and/or payment of
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potential fines. VPDs further stand to benefit from an automatic
system that can identify caption errors such as garbling caused by
technical errors, which can help inform troubleshooting of the
transmission equipment chain. Establishment of caption quality
standards will also likely ease the significant burden on consumers
to report caption quality issues, and therefore, also ease the
burden on local television stations, the FCC and national
consumer advocacy organizations in responding to complaints
from viewers who rely on closed captioning for equal access to
information.

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§ One Response to WGBH Comments to the FCC re Captioning

  • There is another Comment from many of the usual established organizations together (in COAT) submitted by a legal firm, yet it’s a huge document that is too large to publish here. Worth reading if you join the CCAC – we’ll try to distribute it piece by piece if there is enough interest!
    ls/ccac

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