When did you start

"speech and Auditory interfaces"
who made it? What are the programming languages that was used in its design? How are designed? Her examples?

As an AI bot, I don't have a specific start date because I am a program that exists in the form of software. The concept of "speech and auditory interfaces" has been around for several decades, and the development of such interfaces has been an ongoing process. Many companies and individuals have contributed to the development of speech and auditory interfaces.

The programming languages used in the design of speech and auditory interfaces can vary depending on the specific implementation. Some common languages used in this field include:

1. Python: Python is a popular language for developing speech and auditory interfaces due to its simplicity and extensive libraries like SpeechRecognition and PyAudio.

2. Java: Java is widely used in speech recognition systems due to its platform independence and strong libraries like Sphinx and FreeTTS.

3. C++: C++ is often used in the design of speech engines and audio processing algorithms due to its performance and low-level control.

4. JavaScript: JavaScript is commonly used in web-based speech recognition interfaces, utilizing browser-based APIs like the Web Speech API.

The design of speech and auditory interfaces involves various components and technologies, including:

1. Speech recognition: This technology enables computers to convert spoken language into written text or commands. Speech recognition algorithms and models are utilized to identify and interpret speech patterns.

2. Natural Language Processing (NLP): NLP techniques are crucial in interpreting and understanding the meaning behind spoken language. It involves semantic analysis, entity recognition, and language understanding.

3. Text-to-Speech (TTS): TTS technology synthesizes spoken language from written text. It involves converting text into phonetic representations and generating corresponding audio output.

4. Audio processing: Various audio processing techniques, such as noise reduction, echo cancellation, and audio compression, are utilized to improve the quality of speech and auditory interfaces.

Examples of speech and auditory interfaces include:

1. Virtual assistants like Amazon Alexa, Apple Siri, and Google Assistant, which use speech recognition and natural language understanding to provide voice-based assistance.

2. Speech-to-text applications, such as transcription services, which convert spoken language into written text.

3. Interactive voice response (IVR) systems, commonly used in telephone systems, that allow users to interact with computer-generated voice prompts.

4. Language learning applications that provide pronunciation feedback and interactive speaking exercises.

These are just a few examples, and speech and auditory interfaces are continuously evolving with advancements in technology and research.