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Slashdot Media

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21 reviews
  • 1 profiles
  • 1 categories
Average star rating
4.1
Serving customers since
1999

Profile Name

Star Rating

12
7
0
0
2

Slashdot Media Reviews

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Profile Name
Star Rating
12
7
0
0
2
Nagendra K.
NK
Nagendra K.
Senior Engineer - Data Scientist at TransUnion Pvt Ltd
06/13/2024
Validated Reviewer
Review source: G2 invite
Incentivized Review

Speaker Verification using Kaldi Toolkit

It is open-sourced and very well-maintained toolkit by the core group of Johns Hopkins University's speech recognition laboratory. We can extract various state-of-art features such as i-vector, x-vector which can be used for various speech-related tasks. For speech-related tasks, we can achieve the state-of-art result.
Nadeem P.
NP
Nadeem P.
Machine Learning Engineer (Speech Recognition, NLP, Computer Vision)
12/26/2021
Validated Reviewer
Review source: G2 invite
Incentivized Review
Verified User in Higher Education
UH
Verified User in Higher Education
08/19/2021
Validated Reviewer
Review source: G2 invite
Incentivized Review

Very useful but limited for use cases

Kaldi tool is very fast and easy to handle.

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HQ Location:
San Diego, US

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@sourceforge

What is Slashdot Media?

It seems there may be a mix-up in the details provided. Slashdot Media is a different entity and is not affiliated with the website https://kaldi-asr.org/. Here are descriptions for both separately:Slashdot Media:\nSlashdot Media is a digital media company that primarily focuses on technology and the tech community. It manages several technology-related websites, including Slashdot, a platform renowned for its community-curated news related to science, technology, and politics with a heavy emphasis on open source and Linux topics; and SourceForge, which is a website where developers and consumers collaborate on open-source software projects. Slashdot Media's approach involves fostering engagement among tech professionals, enthusiasts, and IT decision-makers through content and community-centric platforms.Kaldi ASR:\nThe website for Kaldi ASR (found at https://kaldi-asr.org/) focuses specifically on the Kaldi project, which is an open-source toolkit for speech recognition. Originally developed for research and academic purposes, Kaldi facilitates voice-enabled application development through features like deep neural networks, and various automatic speech recognition (ASR) tasks. Its robust framework is widely utilized in the community for enhancements and advancements in speech recognition technology, making it a valuable resource for developers and researchers in the field of ASR.

Details

Year Founded
1999