Choosing a speech analytics solution for your business, make sure that it performs transcription in an accurate manner. The accuracy, in this case, is assessed based on the Word Error Rate (WER) metric, which entails the estimation of the total number of words, substitutions, deletions, and insertions in the transcribed text in comparison with the reference.
The industry standard WER is 8% as estimated india telegram data by the veteran Microsoft scientist Xuedong Huang.
In the provided below video, we explain in detail how WER is calculated and give several vivid examples to demonstrate how the speech-to-text transcription is performed in real-time.
Recognizing human speech is certainly not an easy task for digital programs. Not only do they have to solve the difficulty of separating the words of speakers from the background noise, but they also need to distinguish the speeches of people talking.
Another challenge is to identify separate words, contextual advertisingauditwhich constitutes a serious problem if the system transcribes the speech of a person who runs all words in one stream. Donald Trump’s statement provided in the video above serves as an example of such speech.
Similarly, regional accents and dialects can throw off many speech transcription platforms. A high recognition rate in this case can be achieved by means of syntax and semantics analysis, but to carry it out the system has to be trained to work with these categories.
In view of this, when choosing a speech recognition system, try to find the one that has blistering brainpower to handle all the language peculiarities.
3. What Insights Does Speech Analytics Provide?
When looking for a speech analytics tool, choose a solution that will take you beyond the traditional analysis of the calls’ contents and common causes.
The ideal speech analysis should produce truly deep and meaningful insights into the accumulated data, exposing the underlying trends and patterns. It is an ultimate advantage if the system also allows the measurement of tone and speech volume. These two features can be used effectively to assess the emotional context of the conversations.
The purchased by your company solution should have another important feature, and that is the ability to combine the extracted insights into something more visually comprehensible than the lengthy mediocre reports.
Intelligent speech analytics applications offer a great variety of graphs and presentation formats. Their main purpose is to provide actionable insights, namely those that can be easily interpreted by both high executives and junior staff members aub directory and immediately put into action.
4. How Strong Is the Solution’s Power of Search?
Having the information about the calls collected and analyzed is a big step forward. But what you ultimately want to get is an opportunity to manipulate this data, by building queries and categorizing it in accordance with your own requirements.
A good solution always offers an opportunity to select several search criteria to get a better understanding of the discovered information. The power of search is, therefore, an important criterion that should not be overlooked when purchasing a speech recognition and analytics solution.