What exactly is Speech Recognition & Natural Language Processing?
Since the past decade, advancements in analytical technologies like Data Science, Artificial Intelligence, Machine Learning and Deep Learning are happening very rapidly. The advancements in Machine Learning & Deep Learning technologies have resulted in significant development and improvement in how humans interact with machines. Speech Recognition, Image Recognition, Voice to text translation, etc are the results of the advancements in ML & Deep Learning technologies.
The concept of Speech Recognition isn’t something that’s newly invented & has been around since the beginning of computers. People were first introduced to the concept of Speech Recognition through science fiction movies. The various complexities in human language make it difficult for computer systems to understand or process human commands. This is where Natural Language Processing (NLP) comes into the picture. Natural Language Processing is an advanced area in Deep Learning that opens up new fronts for human-computer interaction. With the advent of NLP, the complexity in the Speech Recognition process has been greatly reduced & is now a less time-consuming and easier process.
What is Speech Recognition?
Speech Recognition is a prominent technology that enables human-computer interaction by enabling computers to identify and interpret words and phrases in a spoken language understandable to humans & converts the data into a textual format that can be processed by computer systems. Speech Recognition technology enables users to control their smart devices or computer systems through voice-based commands. Today, the applications of Speech Recognition have become more prevalent in our everyday life. Natural Language Processing is the technology that simplifies the process of Speech Recognition.
What is Natural Language Processing?
Natural Language Processing (NLP) is an advanced concept in Deep Learning that enables human-computer communication. NLP technology delivers computer systems with the ability to understand, interpret, and process human languages to perform the designated tasks. Natural Language Processing encompasses different areas like Computational Linguistics, Computing Science, Cognitive Science and Artificial Intelligence which helps in translation, automatic summarization, topic segmentation, relationship extraction, information retrieval, machine translation, and speech recognition. The advent of NLP has revolutionized human-computer interaction.
Differentiating Speech Recognition & Natural Language Processing:
Speech Recognition enables human-machine communication by making computers understand and process the spoken words or phrases in any human-understandable language and converts them into a textual format that can be processed by computer systems. On the other hand, Natural Language Processing is a technology that sets its complete focus on developing methodologies and algorithms that aids Speech Recognition. The significant use of NLP and Speech Recognition technologies can be seen in applications such as Voice Assistants, ASR Engines, and Speech Analytics tools.
Summary of Speech Recognition vs. Natural Language Processing:
The concept of Speech Recognition is all about making interactions with computer or machines just by using voice inputs. It makes computer systems identify and interprets words and phrases in spoken language and converts them into texts by computers. Natural Language Processing is a much broader technology that also deals with the interaction between humans and computers by using a natural language such as English. You can know more in-depth about Speech Recognition & Natural Language Processing technologies with our advanced AI Training in Hyderabad program by specialist trainers.