Difference between revisions of "NIPPON TELEGRAPH AND TELEPHONE CORPORATION patent applications published on November 30th, 2023"
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+ | '''Summary of the patent applications from NIPPON TELEGRAPH AND TELEPHONE CORPORATION on November 30th, 2023''' | ||
+ | |||
+ | NIPPON TELEGRAPH AND TELEPHONE CORPORATION has recently filed several patents related to various technological innovations. These patents cover a range of fields, including wireless communication, user-generated content analysis, battery technology, optical elements, audio signal processing, and voice signal conversion. | ||
+ | |||
+ | In the field of wireless communication, NTT has developed a learning method that uses machine learning to estimate wireless quality. This method involves training a model with measurement data from multiple terminals and continuously updating the model with new data to improve accuracy. This innovation can enhance the performance and reliability of wireless communication systems. | ||
+ | |||
+ | Another patent focuses on a device that can determine if user-generated content is generated by a malicious user or a legitimate user. By calculating characteristic amounts of user-generated content and using a learning process, the device creates a model to distinguish between legitimate and malicious content. | ||
+ | |||
+ | NTT has also developed a relay device with features such as an internal clock, memory, and communication unit for transmitting and receiving signals between a master and a slave. The device uses synchronization signals and a retention time processing unit to ensure accurate signal transmission. | ||
+ | |||
+ | In the field of battery technology, NTT has filed patents for a metal-air battery with a specific electrolytic solution and a primary battery with unique components. These innovations aim to improve battery performance and enhance energy storage capabilities. | ||
+ | |||
+ | NTT has also developed an optical element with a transparent layer that guides light to two photoelectric conversion elements. This element is designed to improve image quality and capture more accurate data. | ||
+ | |||
+ | In the audio signal processing field, NTT has developed techniques for pitch enhancement and high-frequency compensation in decoded sound signals. These innovations aim to improve the quality and naturalness of audio signals. | ||
+ | |||
+ | Lastly, NTT has filed a patent for a device that learns how to convert voice signals using machine learning models and adjustment parameters. This technology enables the conversion of input voice signals into desired voice signals. | ||
+ | |||
+ | Notable applications: | ||
+ | * Learning method for estimating wireless quality using machine learning. | ||
+ | * Device for determining if user-generated content is generated by a malicious user or a legitimate user. | ||
+ | * Relay device with features for accurate signal transmission. | ||
+ | * Metal-air battery with a specific electrolytic solution. | ||
+ | * Primary battery with unique components. | ||
+ | * Optical element with a transparent layer for improved image quality. | ||
+ | * Techniques for pitch enhancement and high-frequency compensation in audio signals. | ||
+ | * Device for converting voice signals using machine learning models. | ||
+ | |||
+ | |||
+ | |||
+ | |||
==Patent applications for NIPPON TELEGRAPH AND TELEPHONE CORPORATION on November 30th, 2023== | ==Patent applications for NIPPON TELEGRAPH AND TELEPHONE CORPORATION on November 30th, 2023== | ||
Latest revision as of 06:37, 7 December 2023
Summary of the patent applications from NIPPON TELEGRAPH AND TELEPHONE CORPORATION on November 30th, 2023
NIPPON TELEGRAPH AND TELEPHONE CORPORATION has recently filed several patents related to various technological innovations. These patents cover a range of fields, including wireless communication, user-generated content analysis, battery technology, optical elements, audio signal processing, and voice signal conversion.
In the field of wireless communication, NTT has developed a learning method that uses machine learning to estimate wireless quality. This method involves training a model with measurement data from multiple terminals and continuously updating the model with new data to improve accuracy. This innovation can enhance the performance and reliability of wireless communication systems.
Another patent focuses on a device that can determine if user-generated content is generated by a malicious user or a legitimate user. By calculating characteristic amounts of user-generated content and using a learning process, the device creates a model to distinguish between legitimate and malicious content.
NTT has also developed a relay device with features such as an internal clock, memory, and communication unit for transmitting and receiving signals between a master and a slave. The device uses synchronization signals and a retention time processing unit to ensure accurate signal transmission.
In the field of battery technology, NTT has filed patents for a metal-air battery with a specific electrolytic solution and a primary battery with unique components. These innovations aim to improve battery performance and enhance energy storage capabilities.
NTT has also developed an optical element with a transparent layer that guides light to two photoelectric conversion elements. This element is designed to improve image quality and capture more accurate data.
In the audio signal processing field, NTT has developed techniques for pitch enhancement and high-frequency compensation in decoded sound signals. These innovations aim to improve the quality and naturalness of audio signals.
Lastly, NTT has filed a patent for a device that learns how to convert voice signals using machine learning models and adjustment parameters. This technology enables the conversion of input voice signals into desired voice signals.
Notable applications:
- Learning method for estimating wireless quality using machine learning.
- Device for determining if user-generated content is generated by a malicious user or a legitimate user.
- Relay device with features for accurate signal transmission.
- Metal-air battery with a specific electrolytic solution.
- Primary battery with unique components.
- Optical element with a transparent layer for improved image quality.
- Techniques for pitch enhancement and high-frequency compensation in audio signals.
- Device for converting voice signals using machine learning models.
Contents
- 1 Patent applications for NIPPON TELEGRAPH AND TELEPHONE CORPORATION on November 30th, 2023
- 1.1 KINETIC CONTROL SUPPORT APPARATUS, KINETIC CONTROL SUPPORT METHOD, AND PROGRAM (18250081)
- 1.2 HEAT TRACE AREA EXTRACTION APPARATUS, HEAT TRACE AREA EXTRACTION METHOD AND PROGRAM (18031141)
- 1.3 SATELLITE SIGNAL RECEPTION APPARATUS, SATELLITE SIGNAL PROCESSING METHOD AND PROGRAM (18251088)
- 1.4 OPTICAL CONNECTING STRUCTURE, OPTICAL MODULE AND MANUFACTURING METHOD FOR OPTICAL CONNECTING STRUCTURE (18031859)
- 1.5 OFFLOAD SERVER, OFFLOAD CONTROL METHOD, AND OFFLOAD PROGRAM (18248637)
- 1.6 COLLECTION DEVICE, COLLECTION METHOD, AND COLLECTION PROGRAM (18031618)
- 1.7 NEURAL ARCHITECTURE SEARCH SYSTEM AND SEARCH METHOD (18249723)
- 1.8 POINT PROCESS LEARNING METHOD, POINT PROCESS LEARNING APPARATUS AND PROGRAM (18249772)
- 1.9 INFERENCE DEVICE, INFERENCE METHOD, AND INFERENCE PROGRAM (18034257)
- 1.10 SOUND SIGNAL REFINEMENT METHOD, SOUND SIGNAL DECODE METHOD, APPARATUS THEREOF, PROGRAM, AND STORAGE MEDIUM (18031588)
- 1.11 SOUND SIGNAL REFINEMENT METHOD, SOUND SIGNAL DECODE METHOD, APPARATUS THEREOF, PROGRAM, AND STORAGE MEDIUM (18031595)
- 1.12 SOUND SIGNAL REFINEMENT METHOD, SOUND SIGNAL DECODE METHOD, APPARATUS THEREOF, PROGRAM, AND STORAGE MEDIUM (18032533)
- 1.13 AUDIO SIGNAL CONVERSION MODEL LEARNING APPARATUS, AUDIO SIGNAL CONVERSION APPARATUS, AUDIO SIGNAL CONVERSION MODEL LEARNING METHOD AND PROGRAM (18032529)
- 1.14 SOUND SIGNAL HIGH FREQUENCY COMPENSATION METHOD, SOUND SIGNAL POST PROCESSING METHOD, SOUND SIGNAL DECODE METHOD, APPARATUS THEREOF, PROGRAM, AND STORAGE MEDIUM ([[US Patent Application 18033018. SOUND SIGNAL HIGH FREQUENCY COMPENSATION METHOD, SOUND SIGNAL POST PROCESSING METHOD, SOUND SIGNAL DECODE METHOD, APPARATUS THEREOF, PROGRAM, AND STORAGE MEDIUM simplified abstract (NIPPON TELEGRAPH AND TELEPHONE CORPORATION)|18033018]])
- 1.15 PITCH EMPHASIS APPARATUS, METHOD AND PROGRAM FOR THE SAME (18219562)
- 1.16 OPTICAL ELEMENT, IMAGE SENSOR AND IMAGING DEVICE (18031156)
- 1.17 Primary Battery (18251042)
- 1.18 Metal Air Battery (18248964)
- 1.19 RELAY DEVICE, TIME SYNCHRONIZATION SYSTEM, AND PROGRAM (18031886)
- 1.20 DETERMINATION DEVICE, DETERMINATION METHOD, AND DETERMINATION PROGRAM (18031620)
- 1.21 LEARNING METHOD, WIRELESS QUALITY ESTIMATION METHOD, LEARNING DEVICE, WIRELESS QUALITY ESTIMATION DEVICE, AND PROGRAM (18245962)
Patent applications for NIPPON TELEGRAPH AND TELEPHONE CORPORATION on November 30th, 2023
KINETIC CONTROL SUPPORT APPARATUS, KINETIC CONTROL SUPPORT METHOD, AND PROGRAM (18250081)
Main Inventor
Arinobu NIIJIMA
HEAT TRACE AREA EXTRACTION APPARATUS, HEAT TRACE AREA EXTRACTION METHOD AND PROGRAM (18031141)
Main Inventor
Yoshinari SHIRAI
SATELLITE SIGNAL RECEPTION APPARATUS, SATELLITE SIGNAL PROCESSING METHOD AND PROGRAM (18251088)
Main Inventor
Seiji YOSHIDA
OPTICAL CONNECTING STRUCTURE, OPTICAL MODULE AND MANUFACTURING METHOD FOR OPTICAL CONNECTING STRUCTURE (18031859)
Main Inventor
Yohei Saito
OFFLOAD SERVER, OFFLOAD CONTROL METHOD, AND OFFLOAD PROGRAM (18248637)
Main Inventor
Yoji YAMATO
COLLECTION DEVICE, COLLECTION METHOD, AND COLLECTION PROGRAM (18031618)
Main Inventor
Hiroki NAKANO
NEURAL ARCHITECTURE SEARCH SYSTEM AND SEARCH METHOD (18249723)
Main Inventor
Yuki Arikawa
POINT PROCESS LEARNING METHOD, POINT PROCESS LEARNING APPARATUS AND PROGRAM (18249772)
Main Inventor
Yoshiaki TAKIMOTO
INFERENCE DEVICE, INFERENCE METHOD, AND INFERENCE PROGRAM (18034257)
Main Inventor
Atsuhiko MAEDA
SOUND SIGNAL REFINEMENT METHOD, SOUND SIGNAL DECODE METHOD, APPARATUS THEREOF, PROGRAM, AND STORAGE MEDIUM (18031588)
Main Inventor
Ryosuke SUGIURA
SOUND SIGNAL REFINEMENT METHOD, SOUND SIGNAL DECODE METHOD, APPARATUS THEREOF, PROGRAM, AND STORAGE MEDIUM (18031595)
Main Inventor
Ryosuke SUGIURA
SOUND SIGNAL REFINEMENT METHOD, SOUND SIGNAL DECODE METHOD, APPARATUS THEREOF, PROGRAM, AND STORAGE MEDIUM (18032533)
Main Inventor
Ryosuke SUGIURA
AUDIO SIGNAL CONVERSION MODEL LEARNING APPARATUS, AUDIO SIGNAL CONVERSION APPARATUS, AUDIO SIGNAL CONVERSION MODEL LEARNING METHOD AND PROGRAM (18032529)
Main Inventor
Takuhiro KANEKO
SOUND SIGNAL HIGH FREQUENCY COMPENSATION METHOD, SOUND SIGNAL POST PROCESSING METHOD, SOUND SIGNAL DECODE METHOD, APPARATUS THEREOF, PROGRAM, AND STORAGE MEDIUM ([[US Patent Application 18033018. SOUND SIGNAL HIGH FREQUENCY COMPENSATION METHOD, SOUND SIGNAL POST PROCESSING METHOD, SOUND SIGNAL DECODE METHOD, APPARATUS THEREOF, PROGRAM, AND STORAGE MEDIUM simplified abstract (NIPPON TELEGRAPH AND TELEPHONE CORPORATION)|18033018]])
Main Inventor
Ryosuke SUGIURA
PITCH EMPHASIS APPARATUS, METHOD AND PROGRAM FOR THE SAME (18219562)
Main Inventor
Yutaka KAMAMOTO
OPTICAL ELEMENT, IMAGE SENSOR AND IMAGING DEVICE (18031156)
Main Inventor
Masashi MIYATA
Primary Battery (18251042)
Main Inventor
Masaya Nohara
Metal Air Battery (18248964)
Main Inventor
Yuzu Kobayashi
RELAY DEVICE, TIME SYNCHRONIZATION SYSTEM, AND PROGRAM (18031886)
Main Inventor
Yuki YAMADA
DETERMINATION DEVICE, DETERMINATION METHOD, AND DETERMINATION PROGRAM (18031620)
Main Inventor
Hiroki NAKANO
LEARNING METHOD, WIRELESS QUALITY ESTIMATION METHOD, LEARNING DEVICE, WIRELESS QUALITY ESTIMATION DEVICE, AND PROGRAM (18245962)
Main Inventor
Keisuke WAKAO