Abbreviation (noun)
/ˈeɪ ɛs ɑːr/
ASR typically stands for "Automatic Speech Recognition," which refers to technology that enables computers to recognize and process human speech and convert it into text. This term is frequently utilized in discussions related to technology, artificial intelligence, and voice recognition systems.
The frequency of use for ASR is particularly high in technical and professional contexts, including academic research, software development, and telecommunications. It appears more in written content, such as papers, articles, and documentation, rather than in casual oral conversation.
"The new ASR technology has revolutionized how we interact with our devices."
"La nueva tecnología ASR ha revolucionado la forma en que interactuamos con nuestros dispositivos."
"Many companies are investing in ASR to improve customer service."
"Muchas empresas están invirtiendo en ASR para mejorar el servicio al cliente."
"The ASR system struggled to understand accents during the initial testing phase."
"El sistema ASR tuvo dificultades para entender acentos durante la fase de pruebas inicial."
While "ASR" itself is a technical term rather than a word commonly used in idiomatic expressions, there are relevant linguistic phrases in the field of speech recognition and technology. Here are some phrases related to ASR:
"To recognize speech on the fly"
"Reconocer el habla al instante."
"To take voice commands to the next level"
"Llevar los comandos de voz al siguiente nivel."
"To enhance user interaction through voice technology"
"Mejorar la interacción del usuario a través de la tecnología de voz."
"To lose track of the conversation"
"Perder el hilo de la conversación."
"To interpret accents is a challenge for ASR systems"
"Interpretar acentos es un desafío para los sistemas ASR."
"To tailor speech recognition algorithms for better accuracy"
"Personalizar los algoritmos de reconocimiento de voz para una mejor precisión."
"To achieve seamless communication using ASR"
"Lograr una comunicación fluida utilizando ASR."
The term "Automatic Speech Recognition" originated from the merging of two concepts: "automatic," meaning self-operating or requiring no human intervention, and "speech recognition," which refers to the identification and processing of spoken language. The roots of speech recognition date back to advancements in computer science and linguistics, with significant development occurring in the 1970s.