en

Please fill in your name

Mobile phone format error

Please enter the telephone

Please enter your company name

Please enter your company email

Please enter the data requirement

Successful submission! Thank you for your support.

Format error, Please fill in again

Confirm

The data requirement cannot be less than 5 words and cannot be pure numbers

Speech Recognition for Smart Homes: Enhancing User Experience with Data

From:Nexdata Date:2024-04-02

Smart homes have become increasingly popular in recent years, as people seek to simplify their lives and make their homes more convenient and efficient. One of the key features of smart homes is speech recognition technology, which allows homeowners to control various aspects of their homes using voice commands.

Speech recognition technology has come a long way in recent years, and can now be found in many smart home devices, including smart speakers, thermostats, and lighting systems. With the help of speech recognition, homeowners can control their smart home devices using simple voice commands, without having to manually adjust settings or press buttons.

For example, a homeowner can use speech recognition to turn on their lights, adjust the temperature in their home, or play music on their smart speaker. This makes it easy to control various aspects of the home without having to get up or use a remote control.

In addition to being convenient, speech recognition technology can also help to make homes more energy-efficient. By using voice commands to adjust the temperature, homeowners can avoid wasting energy by over-heating or over-cooling their homes.

Nexdata Smart Home Data Solutions

393 Hours - Korean Children Speech Data by Mobile Phone

Mobile phone captured audio data of Korean children, with total duration of 393 hours. 1085 speakers are children aged 6 to 15; the recorded text contains common children's languages such as essay stories, and numbers. All sentences are manually transferred with high accuracy.

50 Hours - American Children Speech Data by Microphone

It is recorded by 219 American children native speakers. The recording texts are mainly storybook, children's song, spoken expressions, etc. 350 sentences for each speaker. Each sentence contain 4.5 words in average. Each sentence is repeated 2.1 times in average. The recording device is hi-fi Blueyeti microphone. The texts are manually transcribed.
200 People - Chinese Wake-up Words Speech Data by Mobile Phone

Chinese wake-up words audio data captured by mobile phone, collected from 200 people, 180 sentences per person, a total length of 24.5 hours; recording staff come from seven dialect regions with balanced gender distribution; collection environment was diversified; recorded text includes wake-up words and colloquial sentences.

849 Hours – Mandarin Interactive Speech Data by Mobile Phone

Mandarin home interaction mobile phone language audio data (Far-field home collected audio data subset), with duration of 849 hours, recorded in the real home scene; content focuses on home instructions, functional assistants and wake-up words, specially designed for smart home, more close to data application scenes.

521 People - Mandarin Voiceprint Recognition Speech Data by Mobile Phone

Each person's time span is very long, which can better cover the sound features of a person in different periods and different states.

As speech recognition technology continues to improve, we can expect to see even more advanced smart home devices that can be controlled using voice commands. This will make it even easier for homeowners to manage their homes and enjoy the many benefits of smart home technology.

3b066fca-c29c-4872-b48c-de0759f4eec3