Are you looking to add Text to Speech to your arsenal of tools? Maybe for your business or personal use only, whatever it is – it’s always a good idea to know more about the most important Text to Speech statistics of 2024.
My team and I scanned the entire web and collected all the most useful Text to Speech stats on this page. You don’t need to check any other resource on the web for any Text to Speech statistics. All are here only 🙂
How much of an impact will Text to Speech have on your day-to-day? or the day-to-day of your business? Should you invest in Text to Speech? We will answer all your Text to Speech related questions here.
Please read the page carefully and don’t miss any word. 🙂
On this page, you’ll learn about the following:
Best Text to Speech Statistics
☰ Use “CTRL+F” to quickly find statistics. There are total 29 Text to Speech Statistics on this page 🙂Text to Speech Market Statistics
- The textto speech market was valued at USD 2.0 billion in 2020 and is estimated to reach USD 5.0 billion by 2026, registering a CAGR of 14.6% during the forecast period. [0]
Text to Speech Latest Statistics
- In 2021, more than 20 percent of individuals from western countries indicated using digital voice assistantsseveral times a day. [1]
- 80% of fortune 2000 companies rely on our research to identify new revenue sources. [0]
- Random effects models yielded an average weighted effect size of ( = .35, with a 95% confidence interval (CI). [2]
- To ensure coding accuracy a second rater coded 20% of the studies. [2]
- We also estimated the effects of potential publication bias using the trim and fill method as well as funnel plots. [2]
- The results show that the use of textto speech tools has a significant impact on reading comprehension scores with =.35, 95% CI [.14, .56]. [2]
- Accounting for these studies, the trim and fill analysis suggested that the effect size would be =.24, 95% CI [.02, .45], p=.03. [2]
- The average weighted effect size for between subject studies alone was =.61, 95% CI [.39, .83],. [2]
- For within subject studies, the average weighted effect size dropped to =.15, 95% CI [−.13, .43], p >05. [2]
- ct siz was calculat irctly rom th inormation provi ; variancs wr stimat by th publish ct siz ; avrag o two masurs o raing comprhnsion. [2]
- request.3Studies’ reports of grade level were inconsistent and we had to code it according to a few assumptions. [2]
- If we had assumed the fixed effects model was correct, grade would have accounted for significant heterogeneity QM=883.06, p<.0 with a parameter estimate of B=−.06 95% CI[−.064. [2]
- 3Studies’ reports of grade level were inconsistent and we had to code it according to a few assumptions. [2]
- Current statistics show that 41% of adults use voice search at least once per day. [3]
- Here are the top voice search statistics and trends to watch in 2021 that 27% of the online global population is using voice search on mobile.voice search is more mobile than ever. [3]
- window.that 20% of searches on its apps. [3]
- Opens in new window.almost 70% of these searcheswere done using natural or conversational language. [3]
- In fact, Google’s speech recognition technology has a95% accuracy ratewhen the spoken language is English. [3]
- Within the past year, 58% of consumers have found local businesses using voice search. [3]
- Voice recognition from Google already has an accuracy of 95%, and Google is not the only tech company working on the perfection of voice recognition to capitalize on voice search. [3]
- China’s with an accuracy rate of 98%. [3]
- Their team predicts they will achieve 99% accuracy within three years. [3]
- And not only is the number of voice search on the rise, but the users 82% of customers research products and services online before making a purchase. [3]
- Logs of these suggestion requests are retained for two weeks, after which 2%% of the log data is randomly selected, anonymized, and retained in order to improve the suggestion feature. [4]
- For a small portion of users on desktop versions of Chrome, and users on mobile versions of Chrome, the logging described in the previous paragraphs apply except that URLs are never included in the 2%% sampling of log data. [4]
- For example, if we improve how page loading works in Chrome, we may try it out for 1%% of users to ensure that it doesn’t crash or run slower before launching to everyone. [4]
- URL encode the argument to the parameter, for examplecustomer_id%3dmy_ID. [5]
- KPMG uses Speech to Text to transcribe and catalog thousands of hours of calls, reducing compliance costs for its clients by as much as 80 percent. [6]
I know you want to use Text to Speech Software, thus we made this list of best Text to Speech Software. We also wrote about how to learn Text to Speech Software and how to install Text to Speech Software. Recently we wrote how to uninstall Text to Speech Software for newbie users. Don’t forgot to check latest Text to Speech statistics of 2024.
Reference
- marketsandmarkets – https://www.marketsandmarkets.com/Market-Reports/text-to-speech-market-2434298.html.
- statista – https://www.statista.com/topics/6760/voice-technology/.
- nih – https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5494021/.
- dbswebsite – https://www.dbswebsite.com/blog/trends-in-voice-search/.
- google – https://www.google.com/chrome/privacy/whitepaper.html.
- ibm – https://cloud.ibm.com/apidocs/text-to-speech.
- microsoft – https://azure.microsoft.com/en-us/services/cognitive-services/speech-to-text/.
How Useful is Text to Speech
One of the most significant advantages of text to speech technology is its accessibility. For individuals with visual impairments or learning disabilities, text to speech provides a vital lifeline to the vast amount of information available online. By converting written text into audio, these individuals can access news articles, academic texts, and literature that would otherwise be inaccessible to them. This democratization of information empowers individuals to participate more fully in society and education, leveling the playing field for all.
Text to speech technology also enables multitasking and hands-free interaction. Whether it’s listening to a podcast while driving or having your emails read aloud while cooking dinner, text to speech allows individuals to consume information while engaging in other activities. This not only saves time but also increases productivity and efficiency, allowing us to make the most of our busy schedules.
Furthermore, text to speech technology enhances the accessibility of information for non-native speakers and people of different literacy levels. By converting written text into spoken words, text to speech helps bridge language barriers and makes content more inclusive and understandable to a wider audience. This can be particularly helpful in educational settings, where students from diverse linguistic backgrounds can benefit from accessing content in a way that suits their individual learning styles.
In the workplace, text to speech technology can also improve efficiency and collaborative efforts. From transcribing meetings and notes to converting documents into audio files, text to speech streamlines communication and information sharing among colleagues. This not only saves time but also fosters a more inclusive and accessible work environment for all employees.
Despite its many benefits, some may argue that text to speech technology lacks the nuance and emotion of human speech. While it’s true that automated voices may not convey the same depth of feeling and expression as a human speaker, advances in artificial intelligence and natural language processing are rapidly closing this gap. Today, text to speech technology can mimic human speech patterns and intonation, creating a more natural and engaging listening experience.
In conclusion, text to speech technology has proven to be a versatile and invaluable tool in our ever-evolving digital landscape. From improving accessibility for individuals with disabilities to enhancing productivity and collaboration in the workplace, the benefits of text to speech are extensive and far-reaching. As technology continues to advance, we can expect even greater developments in text to speech technology, further expanding its utility and potential for improving our lives.
In Conclusion
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