Tegara Corporation (our company) provides products, services, and information that are useful to users involved in research and development on a daily basis, based on our corporate philosophy of "helping accelerate research and development."
This article introduces a service that procures the latest products from around the world on behalf of customers involved in research and development."UNIPOS-"Available atFour representative "corpora"We have summarized an introduction to these and how they can be useful in research and development.
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What is a corpus?
Language data corpora are essential sound resources for research into natural language processing (NLP) and speech recognition systems. These datasets allow developers to efficiently create more accurate models, greatly accelerating research and development. They play a key role behind many of the technologies and services we use every day.
Specifically, it is used for the following:
Voice Recognition: Corpora are used to improve the accuracy of voice recognition for smartphone voice assistants and car operation.
Machine translation: Google Translate and other similar services learn from corpora to accurately translate multiple languages.
Chatbots: Customer support and smart speakers can also use corpora to have natural conversations.
Predictive conversionPredictive text conversion on smartphones and PCs also uses data learned from corpora.
Text Analysis:Corpora are used in technologies that understand text, such as automated replies and sentiment analysis.
Corpora are being used to make these technologies more useful.
Please see below for an introduction to the four major "corpora" that we handle.
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ELRA GLOBALPHONE Corpus
Product Summary
ELRA GLOBALPHONE Corpuswas developed by the Karlsruhe Institute of Technology (KIT) and distributed through ELRA. It is a large-scale language dataset specialized for multilingual speech recognition research, covering more than 20 languages. For each language, it contains about 100 hours of audio data and corresponding transcripts. The audio is newspaper articles read aloud by native speakers of each language.
It is suitable for developing cross-lingual speech technologies and for research in speech synthesis, speaker recognition, language identification, etc. Since it covers language data from different regions, it is very useful for training multilingual models.
Uniqueness of the ELRA GLOBALPHONE Corpusis specialized in multilingual speech recognition research and places emphasis on consistency of speech data between different languages.
What kind of research can it be used for?
- Features: Multilingual support (provides audio data in multiple languages)
- Use: Ideal for developing global speech recognition models
- Related keywords: Speech recognition / Natural language processing / Machine translation / Multilingual speech technology research
How to resolve the lack of voice recognition data?
When developing a global speech recognition model, data that is not biased towards a specific language is required. By utilizing the ELRA GLOBALPHONE corpus, balanced data from multiple languages can be used, accelerating the development of global speech technology.
LDC Corpus
Product Summary
Provided by the Linguistic Data Consortium (LDC)LDC Corpus is a collection of language datasets that are widely used in the fields of linguistics, speech processing, and natural language processing. Founded in 1992, LDC is based at the University of Pennsylvania and develops, collects, and distributes language resources. Its vast collection of data covers a wide range of media, including text, audio, and video, and is trusted by researchers and developers around the world.
LDC corpora are used for a wide range of purposes, from academic research to commercial applications, and provide high-quality data across multiple languages and domains.
Uniqueness of the LDC Corpusis compatible with a wide range of media data and is highly versatile, not limited to a specific language or voice. Another advantage is that the quality of the data and language resources are increasing year by year.
What kind of research can it be used for?
- Features：Multilingual support (covering over 100 languages) and support for a variety of media including text, audio, and video data
- Use: A large-scale dataset for research into natural language processing and speech recognition. It is also widely applicable to linguistics research and its applications, such as machine translation, information retrieval, and text mining.
- Related keywords: Natural language processing / Speech recognition / Document analysis / Linguistics research / Machine translation / Information retrieval / Speech synthesis / Dialogue system development
How can we efficiently collect the data needed for high-precision models?
It is very difficult to collect the large-scale data required for developing highly accurate speech recognition and NLP models. Standardized data formats and metadata are also necessary to improve productivity. The LDC Corpus is committed to promoting data sharing and comparative experiments, and will contribute to the research community as well as solving data collection challenges with its wealth of data, significantly reducing developers' time.
AISHELL Corpus
Product Summary
AISHELL Corpusis a dataset specialized for Chinese speech recognition, and is a standard language resource that is widely used in research on Chinese speech processing. There are multiple versions, from AISHELL-1 to AISHELL-4*, and it includes speech data in conversational speech and noisy environments, and covers a wide range of scenes. It is indispensable for the development of Chinese speech recognition and natural language processing models.
AISHELL is available in three versions:
- AISHELL-1: Reading audio data
- AISHELL-2: Spontaneous speech data
- AISHELL-3: Large-scale, high-precision multi-speaker speech data
- AISHELL-4: Multi-channel audio data from a meeting scene
Uniqueness of the AISHELL CorpusThe advantage of this approach is that it contains a wealth of data on noisy environments and natural conversations, making it possible to train practical speech models.
What kind of research can it be used for?
- Features: A speech recognition dataset specialized for Standard Chinese (Putonghua)
- Use: Ideal for Chinese conversation, voice assistants, speaker recognition, voice synthesis, and conversational AI development
- Related keywords: Speech recognition / Chinese natural language processing / Conversational AI / Speech synthesis / Speaker recognition / Voice separation
How can we improve the accuracy of Chinese speech recognition?
Chinese speech processing is a difficult field to improve accuracy in due to the complexity of phonemes and tones, which are influenced by Chinese-specific tones and dialects. The AISHELL corpus provides highly accurate data to address such challenges and effectively supports language model training. This can significantly improve the performance of Chinese speech recognition systems.
DATAOCEAN AI Corpus (Language Data)
Product Summary
DATAOCEAN AI (Speechocean) The language corpus is a dataset for AI training that covers a wide range of speech, text, and image data, mainly for the Chinese market. It supports more than 50 languages, including Chinese, English, and Japanese, and is ideal for natural language processing tasks for commercial and research purposes.
■AI Training DatasetsData sets are large amounts of data used to train AI models. AI uses this data to learn patterns and make predictions and decisions to solve problems. The quality of a dataset has a significant impact on the performance and accuracy of an AI system, so high-quality data is necessary.
- Audio data:Used to train voice recognition and voice assistants
- image data: Data that trains AI on visual information used in object recognition, autonomous driving, etc.
- text data: Used for natural language processing (NLP) and chatbot sentence understanding and generation
Uniqueness of DATAOCEAN AI (Speechocean)Its high level of flexibility comes from the fact that it offers customizable, multilingual datasets that have undergone rigorous quality control, making it suitable for a wide range of uses, particularly in AI development.
What kind of research can it be used for?
- Features: High-quality and diverse AI training datasets for over 50 languages, including Chinese
- Use: Ideal for multilingual AI system development, speech recognition, machine translation, sentiment analysis, cross-lingual learning, etc.
- Related keywords: AI voice assistant / Natural language processing / Speech recognition / Machine learning / Multilingual processing / Cross-lingual learning / Speech synthesis
Having trouble integrating multilingual data?
Multilingual data integration is a major challenge when training AI models. DATAOCEAN AI's corpus provides consistent annotation methods and unified metadata, making it easy to deploy even when multilingual processing is required. This enables efficient data training and the development of highly accurate multilingual AI models.
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In this article,Four representative "corpora"We introduced the following.
In the next installment, we will look at how these corpora can be useful for research and development from the perspective of the research phase.
Tegara Corporation platform
At Unipos, we provide specialized services, including overseas corpora, to effectively advance research and development.softwareIn addition, the latesthardwareWe have a long track record of procuring these products. In addition, we have the technical capabilities we have cultivated through custom PC manufacturing and good relationships with overseas vendors. With these capabilities, we are also focusing on providing support for software and hardware to resolve any problems our customers may have.
We would like to continue to introduce items that will help you secure the time you need for research and development and proceed with your project effectively.
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Introduction
| 2024/10/24 Update: Introducing overseas corpora that are useful for improving the efficiency of research and development – Part 2 [Unipos] has been released! |
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