视频概述内容为......(300字)
hi guys and welcome to the voice of AI
my name is Chris Plante and some super
cool big big news from yesterday meta
have shared new progress on their AI
speech work the massively multilingual
speech project has now scaled speech to
text and text-to-speech to support over
1 100 languages which is a 10 times
increase from previous work MMS is a
game changer for the world of speech
recognition and speech generation
technology this project led by meta aims
to break down language barriers by
enabling machines to recognize and
produce speech in over 1 000 languages
covering 10 times more languages than
any existing speech recognition or
speech generation model with this
multi-model system people from all over
the world can access information and
communicate effectively in their
preferred language preserving linguistic
diversity across the globe one of the
biggest challenges in creating a
multi-modal system for speech
recognition and speech generation is
finding the vast amounts of label data
necessary for training such models
for most languages such data simply
doesn't exist making it almost
impossible to develop good quality
models for speech tasks however the MMS
project overcomes these challenges by
using the New Testament translations
which have audio recordings of people
reading the text in different languages
to create data sets of readings in an
over 1 100 languages this combined with
unlabeled audio recordings from various
Christian religious readings provides
label data for 1100 languages and
unlabeled data for nearly 4 000
languages the results of this project
shows that MMS models outperform
existing models and cover 10 times as
many languages their models also perform
equally well for male and female voices
let's have a quick look at the data okay
so the first graph shows character error
rates this is an analysis of potential
gender bias automatic speech recognition
models trained on MMS data have a SIM
error rate for male and female speakers
based on the fleur's benchmark and now
here on character error raids meta
trained multilingual speech recognition
models on over 1 100 languages as the
number of languages increases
performance does decrease but only
slightly moving from 61 to 1107
languages increases the character error
rate by only about 0.4 but it increases
the language coverage by over 18 times
if we look here in the word error rate
you can see in a light for like
comparison with open ai's whisper meta
found that models trained on MMS data
achieve half the word error rate but MMS
covers 11 times more languages this
demonstrates that their model can
perform very well compared to the best
current speech models and finally the
error rates in percentage meta trained a
language identification model for over 4
000 languages using their data sets as
well as existing data sets such as flurs
and common voice and evaluated it on the
fleurs language identification task it
turns out that supporting 40 times the
number of languages still results in a
very good performance furthermore the
MMS project provides code and models
publicly so that other researchers can
build upon their work and make
contributions to preserve the language
diversity in the world while the models
aren't perfect and run the risk of
mistranslating Select words or phrases
the project recognizes the importance of
collaboration within the AI Community to
ensure that AI Technologies are
developed responsibly this project has
the power to make significant impact on
the future of communication breaking
down the language barriers that have
historically existed and encouraging
people to preserve their languages the
vision is to create a world where
technology can understand and
communicate in any language effectively
preserving linguistic diversity while
this is really the beginning the
massively multilingual speech MMS
project represents a significant step
towards achieving this goal with the
advancement of Technology the future is
looking bright for communication across
languages and cultures
thanks for watching the video today
please don't forget to like And
subscribe and join me on the journey to
unlock the potential of AI
if you have any questions or any
feedback please leave them in the
comments section below I'll be happy to
read them so I'll see you next time and
all the very best I'm Chris from the
voice of AI cheers and bye-bye now
foreign
昨天,Meta分享了他们在AI语音方面的新进展。他们的大规模多语种(MMS)语音项目已经将语音转文字和文本到语音的支持范围扩大到超过1,100种语言,这是以前工作的十倍增长。MMS对语音识别和语音生成技术的世界是一场革命。这个由Meta领导的项目旨在通过使机器能够识别和生成超过1,000种语言的语音来消除语言障碍,比任何现有的语音识别或语音生成模型覆盖的语言数量多10倍。有了这个多模型系统,来自世界各地的人们可以在他们首选的语言中有效地访问信息和进行沟通,从而在全球范围内保护语言多样性。
MMS项目为语音识别和语音生成的多模型系统在多种语言环境下提供了解决方案。这种技术的影响是巨大的,特别是在客户支持方面。现在,客户支持团队可以借助MMS的帮助,更好地与全球不同语言环境下的客户进行沟通。无论客户所使用的语言是哪种,MMS都能够提供准确的语音识别和生成,从而改善客户体验。
此外,MMS项目还提供了公开的代码和模型,使其他研究人员可以在其基础上构建并为保护世界上的语言多样性做出贡献。虽然这些模型并不完美,可能会在翻译某些词语或短语时出现错误,但该项目认识到AI社区内合作的重要性,以确保负责任地开发AI技术。
MMS项目代表了实现跨语言和文化沟通的重要一步。随着技术的进步,未来的沟通前景变得光明起来。它可以打破历史上存在的语言障碍,鼓励人们保持他们的语言,并创造一个技术可以有效理解和沟通任何语言的世界。虽然这只是一个开始,但MMS项目对于实现这一目标迈出了重要的一步。
谢谢观看今天的视频,请不要忘记点赞和订阅,并加入我一起发掘人工智能潜力的旅程。如果您有任何问题或反馈,请在下方评论区留言,我很愿意阅读。再次见到你,祝一切顺利!
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