Will AI replace our news anchors? The Business Standard
While there are chatbots like ChatGPT for English, there is a notable absence of similar chatbots for languages like Bangla due to the scarcity of data and suitable processing capabilities. Hi, I would like to download a report which contains text to speech (TTS) market size, main players, trend forecast etc. Palmeri, T. J., Goldinger, S. D., and Pisoni, D. B. Episodic encoding of voice attributes and recognition memory for spoken words.
One theme pertains to initial processing difficulties exhibited when hearing accented speech; the other to the effects of exposure to the accent. Each of the following four sections is devoted to research on one age group, reviewing research on each of the two themes, and ending with a summary and brief discussion of the particular contributions of that age group to our understanding of accented speech perception. Research on young adults is presented first because the majority of research on accent perception has been carried out on young adults, typically college students. Furthermore, work with other populations usually use young adults as a reference point. Thus, these data can be viewed as the benchmark against which researchers working with younger or older populations will compare their findings. Some require internet connectivity while others may feature built-in translation databases allowing offline use.
Processing Different Accents and Different Voices is Fundamentally the Same
However, the perceived strength of the accent in the foreign accented stimuli was stronger than in the within-language accent ones in that study, which could have explained the greater salience of the foreign accented features than the within-language features. Floccia et al. (2009) addressed this concern by selecting stimuli spoken in a regional (Irish) accent and a foreign (French) accent on the basis of similar ratings of accent strength by British speakers of English. Specifically, 7-year-olds were better at spotting the foreign accent over the within-language accent. Curiously, this same tendency was not statistically significant for the 5-year-olds. One interpretation of these results is that children are increasingly sensitive to a foreign accent with age and experience.
Although the parallels between processing talker and accent variation are remarkable, further work is needed before concluding that this stems from their involving the same mechanisms. It is unlikely that differences between linguistic varieties can be undone through such universal and innate mechanisms. Additionally, while all children have some exposure to talkers with different voices, not all children have exposure to multiple accents. Thus, infants have positive evidence of the kinds of additional transformations that are required to deal with multiple talkers, but may not have developed robust remapping mechanisms for different accents. Thus, it is an empirical matter as to what extent the mechanisms recruited, at any given age and for a given task, are overlapping for talker and accent variation. Even encountering novel talkers within one’s own accent group presents the perception system with massive inter-speaker variation, which has a processing cost.
Listeners are less accurate in transcribing the speech of both foreign accented speakers (Gass and Varonis, 1984) and within-language accented speakers (Mason, 1946; Labov and Ash, 1997). Moreover, intelligibility of both foreign accented speech (Rogers et al., 2004) and regional accented speech (Clopper and Bradlow, 2008) can be affected by background noise to a greater extent than speech spoken in the listeners’ own accent. Accented speech is also processed more slowly. Although only a handful of studies have been carried out with older adults, it is clear that this population experiences an initial cost when processing accented speech, which may be rendered smaller through exposure.
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Text-to-speech systems are becoming integral in providing natural and contextually relevant voice communication within the vehicle environment. This includes delivering navigation prompts, enabling hands-free calling, and facilitating other interactive features. The integration of TTS in autonomous vehicles not only responds to the demand for advanced in-car communication but also positions Text-to-Speech providers at the forefront of contributing to the evolution of smart and user-friendly automotive technologies. Language translation devices have experienced exponential growth since 2010, driven by globalization, travel and tourism increases, and the need to communicate seamlessly in multicultural settings. Language translators have become popular with travelers, business professionals, healthcare providers, and individuals hoping to break language barriers across various scenarios.
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These asymmetries fit with asymmetries in media exposure of the two accents. Research is increasingly turning to how older adults cope with dialectal, foreign, or simply novel accents, a question that is both theoretically and empirically important. There are several factors which change with aging that could impact accented speech perception. To begin with, older adults often suffer from age-related hearing loss (presbycusis), which impairs sensitivity (i.e., loudness), and fine tuning (i.e., spectral resolution). This hearing loss may render speech perception in general more difficult. It could potentially decrease the difficulty gap between accented and unaccented speech, as it leads listeners to rely on context more.
However, there is still some progress to be made in understanding the effects of cognitive decline, and its contribution to the diversity of results reported. Based on individual variation data, Janse and Adank (2012) report that memory subsystems play a role in accented speech processing. Finally, it may be the case that different results are partially due to differences in the stimuli, particularly the quality of the accent under study or the amount of familiarity with it. Bradlow and Bent (2008) provided important evidence concerning when accent adaptation is more likely to occur. Specifically, they found that exposure to multiple Chinese-accented speakers improved adaptation to a novel Chinese-accented speaker to a larger extent than exposure to a single Chinese-accented speaker did.
Will AI replace our news anchors?
Specifically, the procedure is identical to the segmentation studies described above, except that the familiarization stimuli are spoken in one accent, and the test passages in a different accent. In both cases, the older group succeeded where the younger group failed. Naturally, as we pointed out for the language preference tasks, here the effects of experience and maturation are confounded.
58, 384–391. Impe, L., Geeraerts, D., and Speelman, D. Mutual intelligibility of standard and regional Dutch language varieties. J. Humanit. Arts Comput. 2, 101–117.
Nearly everywhere in the world, a simple trip to the market will most likely put you within earshot of dialectal or foreign accents. For instance, a report of 26 countries by the Organization for Economic Cooperation and Development (2007) estimated that about 9% of each country’s population was foreign and thus might speak a language not spoken in their current country of residence. To take a more specific example, a census report in the USA documents that 20% of respondents declared speaking a language other than English at home, and half of that 20% estimated their own English speaking abilities as below fluent (United States Census Bureau, 2008). You can foun additiona information about ai customer service and artificial intelligence and NLP. Moreover, these numbers underestimate the likelihood of encountering an accent different from one’s own, as they do not take into account variation in within-language accents.
A substantial hurdle confronted by the Text-to-Speech (TTS) market is the intricate task of developing a generic acoustic database that can effectively cover the extensive array of language variations. The quest for achieving natural-sounding speech synthesis across diverse linguistic contexts necessitates the creation of comprehensive databases that encompass not only different languages but also various accents, dialects, and regional nuances. This poses a formidable challenge as it demands ongoing efforts to update databases continuously, accommodating the dynamic evolution of language patterns and the ever-expanding global linguistic diversity. The significance of overcoming this challenge cannot be overstated. Additionally, in many perceptual adaptation paradigms, listeners are exposed to a single talker with a quirky pronunciation, and tested on the same voice used in the exposure phase.
- Kinzler, K. D., Shutts, K., DeJesus, J., and Spelke, E. S.
- With the automotive industry progressing towards autonomous and connected vehicles, there is a growing demand for sophisticated voice interfaces that can enhance user experience and safety.
- Preference paradigms skip the familiarization phase to tap infants’ early preferences for one variety over another, simply measuring infants’ attention while they hear utterances in their own or an unfamiliar variety.
125, 2361–2373. Hallé, P., and de Boysson-Bardies, B. The format of representation of recognized words in infants’ early receptive lexicon. Infant Behav. 19, 465–483.
Floccia, C., Goslin, J., Girard, F., and Konopczynski, G. Does a regional accent perturb speech processing? 32, 1276–1293. Floccia, C., Butler, J., Girard, F., and Goslin, J.
Text-to-Speech market in Asia Pacific region to exhibit highest CAGR during the forecast period
Where do 20-month-olds exposed to two accents acquire their representation of words? Cognition 124, 95–100. Dufour, S., Nguyen, N., and Frauenfelder, U. H. Does training on a phonemic contrast absent in the listener’s dialect influence word recognition? 128, EL43–EL48.
This includes encryption protocols to safeguard data during transmission and storage, rigorous access controls to limit unauthorized entry, and adherence to ethical standards in data usage and handling. Van Heugten, M., and Johnson, E. K. Infants exposed to fluent natural speech succeed at cross-gender word recognition. Speech Lang.
Expand Beyond Text-to-Speech Market
26, 708–715. Lev-Ari, S., and Keysar, B. Why don’t we believe non-native speakers? The influence of accent on credibility.
This matching preference ensues provided that the wordform is sufficiently similar to the target’s name to prime this association, that is, even when it is not identical (Swingley and Aslin, 2000). Similarly, unfamiliar accents may prevent recognition of newly learned words. Schmale et al. (2011) taught toddlers a new word by pairing a wordform with a picture. Then they were tested on their recognition of that word in two subsequent trials involving changes in language varieties. In one test trial, two pictures were displayed on the screen while the familiar wordform was provided (looks to the matching target are expected if children have learned the word-object association).
- Listeners are less accurate in transcribing the speech of both foreign accented speakers (Gass and Varonis, 1984) and within-language accented speakers (Mason, 1946; Labov and Ash, 1997).
- The rising need for accessibility features, particularly for differently-abled individuals, fuels market growth.
- Commenting on this, Sadeque said, „I don’t think any media has yet developed the technical capabilities where they can build a completely AI presenter from scratch, who can present news in a completely new language fluently through natural gestures.”
- Speech Lang.
The implementation of TTS in educational materials and e-learning platforms enhances accessibility, making content more inclusive for all students. As digital learning gains prominence, educational institutions are leveraging TTS for providing interactive and personalized content delivery. Additionally, the growing regional accents present challenges for natural language processing. awareness of diverse learning styles and the emphasis on inclusive education contribute to the rising adoption of Text-to-Speech solutions, position. Peelle, J. E., and Wingfield, A. Dissociations in perceptual learning revealed by adult age differences in adaptation to time-compressed speech. Psychol.
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Adank, P., Evans, B., Stuart-Smith, J., and Scotti, S. Comprehension of familiar and unfamiliar native accents under adverse listening conditions. 35, 520–529. While it is undeniable that AI has changed the way newsrooms operate and made certain tasks more manageable, the rapid pace of AI development makes it hard to predict the future.
For example, Bürki-Cohen et al. (2001) tested native English listeners on a phoneme detection task, either in isolation or paired with a secondary linguistic task (deciding whether the item was a noun or a verb). The key question was whether listeners would in fact recruit lexical information in their judgments, in which case response times should be lower for higher frequency words than for lower frequency words. For the unaccented speech, listeners did not make use of lexical information ChatGPT (response times did not vary between high and low-frequency words), even when the secondary task was added. However, the secondary task led listeners to rely on lexical information when processing foreign accented speech. In the following four sections, we summarize current literature on accent perception in young adults, infants, children, and older adults. Looking throughout all age groups, we identified two central themes of research evident in each and every age group.
Generative AI tools, including ChatGPT, are widely adopted in newsrooms worldwide for summarising long reports, offering topic research guidance, spell-checking, writing full articles, generating topic ideas and translation. „As a result, in the same way as audio, the video data is analysed to see how the shape and position of the lips, the facial muscles change during the utterance of a sound,” said Sadeque. The more data is analysed, the more fluent and natural the face of the on-screen AI avatar will appear.
This makes news easier to understand for a broader audience, fostering greater engagement and comprehension. In the top-down approach, the overall market size has been used to estimate the size of individual markets (mentioned in the market segmentation) through percentage splits from secondary and primary research. The bottom-up approach was used to arrive at the overall size of the Text-to-Speech market from the revenues of the key players and their shares in the market. The overall ChatGPT App market size was calculated based on the revenues of the key players identified in the market. The authenticity and naturalness of synthesized speech are directly contingent on the richness and accuracy of the underlying acoustic database. Text-to-speech providers must grapple with the complexities of capturing the subtleties inherent in diverse linguistic expressions to deliver solutions that resonate authentically with users across a spectrum of cultural and linguistic backgrounds.
Swingley, D., and Aslin, R. N. Spoken word recognition and lexical representation in very young children. Cognition 76, 147–166. Sommers, M. S. The structural organization of the mental lexicon and its contribution to age-related declines in spoken-word recognition.