Technology Encyclopedia Home >How are speech recognition and speech interaction achieved in human-computer interaction?

How are speech recognition and speech interaction achieved in human-computer interaction?

Created on 2025-04-23 17:24:13
23

Speech recognition and speech interaction in human-computer interaction are achieved through several technologies and processes:

Speech Recognition

  1. Acoustic Modeling: This involves training models to recognize different sounds and phonemes in various languages. These models are usually trained on large datasets of spoken language.

    • Example: A model might be trained to distinguish between the sounds of "cat" and "cut".

  2. Language Modeling: This component helps in predicting the likelihood of a sequence of words occurring in a given language.

    • Example: It helps in understanding that "I want to eat an apple" is more likely than "I want to eat an apply".

  3. Decoding: This is the process where the system interprets the audio input and converts it into text based on the acoustic and language models.

    • Example: Converting the spoken phrase "What's the weather like today?" into text.

Speech Interaction

  1. Natural Language Processing (NLP): After the speech is converted to text, NLP techniques are used to understand the meaning and intent behind the words.

    • Example: Determining whether a user's request is about checking the weather or asking for a weather forecast.

  2. Dialogue Management: This system keeps track of the conversation context and manages the flow of dialogue between the user and the computer.

    • Example: If a user asks about the weather and then follows up with "What about tomorrow?", the system understands the context and responds accordingly.

  3. Text-to-Speech (TTS): This technology converts text into spoken words, allowing the computer to respond verbally to the user.

    • Example: Converting the text "The weather is sunny and warm today" into spoken words.

Example Scenario

Imagine a user saying, "Turn on the lights." The system would:

  • Use speech recognition to convert the spoken words into text.
  • Use NLP to understand that the user wants to control the lighting.
  • Execute the command to turn on the lights.
  • Potentially respond with a verbal confirmation using TTS, saying, "The lights are now on."

Recommended Service

For implementing these technologies, Tencent Cloud offers the Tencent Cloud Speech Recognition and Tencent Cloud Text-to-Speech services. These services provide robust speech recognition and synthesis capabilities, enabling developers to integrate advanced voice interaction features into their applications.