“Speech is the voice of the heart.” ― Anna Quindlen

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Every spoken word is created and somehow limited to whether or not every vocalized speech can be communicated. Many are spoken words, many are communicated, many are yet communicated.

As easy as it can be, so effortlessly the sound is produced by means of lungs, larynx, or syrinx. This is the voice known and happen to us daily. Those studying the faculty of utterance will tell more about the expiration of air with the vocal cords and other anatomies. Trying to explore the creation of speech. The sound that is produced, the voice as a product.

Then there is another interesting part with reference to the voice. The voice of the people. The voice that doesn’t exist as product but the influential power that is a resourceful. This is the voice of the people that gives them the right. Even the right to choose what to hear. Still more choosing to hear the speaker or the speech. The selection between speaker recognition and speech recognition.

Speaker recognition, the part that identify a person from other voices, it is also known as voice recognition. And speech recognition focusses more on what is said. Speaker recognition (recognising who is speaking) and speech recognition recognising what is being said). These two terms are frequently confusing, and “voice recognition” can be used for both.

Technological systems are more adapted with recognising the speaker or recognising the speech. Especially when recognising the speaker can simplify the task of translating speech in systems that have been trained on specific person’s voices or it can be used to authenticate or verify the identity of a speaker as part of a security process.

Then philosophies being the teacher can argue that sometimes recognising what is being said is more important that recognising who is speaking. Although speech recognition is often used from technical perspective, it is every much relevant in our daily usual communication. When the human intellect wants to learn it doesn’t focus on the speaker but wittily believes in speech recognition. Speech recognition, naturally exist when the talking, communication and interpretation goes deep to learning and understanding.

• In deep learning, each level learns to transform the speech into a slightly more abstract and composite representation and interpretation.
• Importantly, a deep learning process can learn which features to optimally place in which level on its own.
• The “deep” in “deep learning” will reveal the understanding to the number of layers through which the speech is transformed. Which is normally the wisdom at hand.

Listeners may approach speech recognition from different starting points. A student assigned to interpret a speech comes at reading differently from someone on the beach listening to the same speech.

Speech recognition usually implies the conscious task of making sense out of a piece of writing or talking that may not be clear at first glance or that may reward deeper reading even if it at first appears perfectly clear. The beach reader will probably not need to interpret further what she or he reads, but the student will. Because the student is a learner whose aim is to seek and hope for understanding.

Unless the listener from the beach takes time to devote attention to the words themselves, to take pleasure in their interpretation. That’s only possible when someone is listening for knowledge, for information, or for the conclusion to end differences, or maybe for directions as to action. Sometimes it can be just as simple as following a recipe, no brainier. That’s is listening for what (one is) going to carry away afterwards, but a pleasure in which to participate actively—aesthetically.

There are many different theories of speech recognition. On the other hand, there may be innumerable interpretations for any given piece of speech, any one of which may be considered valid. However, it can be black and white, claiming that there really is only one valid interpretation of destined words.

If there is such a thing like intellectual meaning and understanding, is it the notion of speech recognition?

• Natural speech recognition, in its simplest form, is just a psychological process usually related to a person or message and whereby one is able to think about it and use concepts to deal tolerably with that object.
• Speech recognition is a relation between the knower and an object of understanding.
• Speech recognition implies abilities and dispositions with respect to an object of knowledge that are sufficient to support intelligent behaviour.

Although it is most known with reference to technology, but psychologically in learning people learn concepts by firstly recognition what is being said (speech recognition).

Sometimes, a person may have a good ability to predict the behaviour of an object or system —and therefore may, in some sense, understand it—without necessarily being familiar with the concepts associated with that people or system in their culture. They may have developed their own distinct concepts, which may be equivalent, better or worse than the recognised standard of understanding. Thus, understanding is correlated with the ability to make inferences or interpretations.

They say knowledge is power, merely recognising what is said can be a distraction. When people use their increased accuracy and go beyond worldly programmed system which can only detect the voice and language. Going beyond every voice and language there are layers of understanding.

• Understanding beyond speech recognition allows the truth to surface and prevail.
• Understanding beyond speech recognition allows a breeding ground for new ideas.
• Understanding beyond speech recognition is a safeguard tool.

People only become fully informed by getting to understand. It all starts by speech recognition, followed by interpretation. Maybe layers of insights.

‘’Wisdom is the principal thing; therefore get wisdom: and with all thy getting get understanding.’’ – Proverbs 4:7.