Hey Can anyone please give me a sample of a woman saying "one". I'm completing a dance mix-tape, and This is the final piece of the puzzle. I need a woman with a really nice and sexy voice to say "one". You'd think that would be easy but I have been having problems.

I am a EDM trap producer in need of a few sexy female voice sample tags and am more than happy to pay whoever can do these for me, I will need the following tags:

-"You are now listening to twerk music"

-"DJ TLOA" (pronounced DJ tuh-lo-a)

-"You are now listening to DJ TLOA"

my email is morrisonmaidan@gmail.com if need be for contact thanks for your help in advance


Download Female Voice Saying Hello How Are You Doing


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Hey, This is Danger Xone Studios (Pronounced "Zone"), in need of some voice work. I need a female voice to say the following:

1. Danger Xone Studios

2. DJ Xone

3. You are listening to a Danger Xone beat.

4. Xone

Thank you very much.

Principal Component Analysis (PCA) was used to convert all traits to orthogonal dimensions. Entered into the PCA were the z-transformed, mean ratings for all voices on each scale. Preliminary analysis indicated gender clustering, consistent with biological differences in male and female voices (e.g. higher average pitch in female voices) [57]. Thus, separate gender-driven PCAs were carried out, excluding masculinity and femininity, and only the gender-driven PCAs are reported: masculinity and femininity relationships to the main principal components (PCs) were explored via post-hoc correlational analyses. In addition, analyses comparing personality ratings across male and female raters listening to male and female voices is available in the Supplementary Information (File S1).

Across gender, only the PCA weighting of attractiveness appeared to vary largely. Male vocal attractiveness correlated most strongly with dominance, whilst female vocal attractiveness was most associated with valence. When attractiveness was explored as a product of the traits, i.e. as opposed to an individual trait, components of dominance and valence explained greater than half the variance in male vocal attractiveness: dominance having the stronger influence. In contrast, in female voices, components of valence and dominance/aggression explained almost all of the variance, with the valence component having the strongest effect. These results were largely consistent when exploring the relationship by gender of rater. Previous research has suggested similar results in face [72] and voice perception [68], [73], with findings pointing to increased attractiveness as masculinity/strength increases in males and as friendliness/warmth increases in females.

Some people hear voices talking when no-one is around. These could be like the voices of people they know, or complete strangers. They might hear many voices, or just one. Voices can shout, whisper, be clear or muffled. They can speak in sentences or say single words. These voices can be male, female, genderless, old or young. Sometimes they have names, but not always. Voices can speak constantly (24/7), but they can also utter occasional words or phrases. People can hear other types of sounds too, including knocking, rustling, crying, screaming or music.

On hearing a novel voice, listeners readily form personality impressions of that speaker. Accurate or not, these impressions are known to affect subsequent interactions; yet the underlying psychological and acoustical bases remain poorly understood. Furthermore, hitherto studies have focussed on extended speech as opposed to analysing the instantaneous impressions we obtain from first experience. In this paper, through a mass online rating experiment, 320 participants rated 64 sub-second vocal utterances of the word 'hello' on one of 10 personality traits. We show that: (1) personality judgements of brief utterances from unfamiliar speakers are consistent across listeners; (2) a two-dimensional 'social voice space' with axes mapping Valence (Trust, Likeability) and Dominance, each driven by differing combinations of vocal acoustics, adequately summarises ratings in both male and female voices; and (3) a positive combination of Valence and Dominance results in increased perceived male vocal Attractiveness, whereas perceived female vocal Attractiveness is largely controlled by increasing Valence. Results are discussed in relation to the rapid evaluation of personality and, in turn, the intent of others, as being driven by survival mechanisms via approach or avoidance behaviours. These findings provide empirical bases for predicting personality impressions from acoustical analyses of short utterances and for generating desired personality impressions in artificial voices.

Furthermore, girl voice overs can cater to specific target demographics, ensuring that content is more relatable and appealing to certain audience segments. The diversity of female vocal ranges, from childlike to mature, allows for versatile character representation in animations, games, and audiobooks. Additionally, in the realm of marketing, female voices can lend credibility and warmth to products and services, thereby influencing purchasing decisions.

Simply type what you want the female voice to say, pick a narrator, and then export or take advantage of the easy to use audio editor and edit the output on a granular level. You can fine-tune pronunciation, pitch, and tone, ensuring that your final project is truly unique and precisely tailored to your needs. Try Speechify Voice Over Studio for free today and experience AI female voices that are indistinguishable from human speech, with just a click of a few buttons.

Voicemod is a popular voice changer for Windows and Mac, offering free and premium versions with seamless integration into apps like Discord and Skype. This makes Voicemod voices a favorite among gamers and live streamers due to its wide range of voice filters, including those for female voices.

Girl Voice Changer PRANK is tailored for Android users, specializing in transforming male voices into convincing female voices with various filters, providing a tool to create authentic female voices for a variety of applications, particularly for pranks or entertainment.

Clownfish Voice Changer, available for Windows and Mac, offers an array of voice effects beyond clownfish, including female voices, and is favored by online gamers for its real-time voice-changing capabilities, particularly when integrated with platforms like Discord.

VoiceFX is a real-time voice changer app for Android and iOS, providing a wide selection of voice effects, including the creation of female voices, making it a convenient tool for mobile users interested in voice modulation

Voice Changer-MagicMic is a free voice changer app by Imyfone magicmic for Windows, IOS, and Android that allows users to transform their voices into various avatars, including male, female, and more baby voice changers, and more, making it perfect for prank call audios and voice overs.

The best female voice changer will depend on the intended purpose. If you want something quick and easy, an app like Voice Spice would be a great choice. But if you want something more substantial, EaseUs offers an entire studio experience.

I had a few stages my youngest years that i heard voices, now im 18 and havent have them for over 10 years. I dont think its something that always needs to be addressed with meds. Maybe first start out not outting alot of attention on it but keep an eye on them, making people feel as though something is wring with them and they need help is not always the way to go. In alot of caees it could make it worse and bring negitive attention toward something that may just need time, love and understanding. There have been a lot of cases that the voices stop on there own. I did tell my mom when i was a child what was going on she acknowledged what i said but didnt seem to concered she asked a few questions gave me her best advice and didnt rush to get a strangers advice, youre childern need you, expescially right now, not a stranger not give them drug. I say it might need time because i was a case that all i needed was time and for someone to believe me amd not think i was crazy. I still to this day know that i heard the things i did but still can not explian. If i had to explaian i would say i channeled spirits, because i had such a free and open mind. Which in my opinion could be ok or not so ok. I would start to worry if they started being mean to other childern or trying to harm themselves. I guess my point is when you take them to get medical help we should keep in mind that we are sending them to aomeone who is doing there job, to prescibe people with illnesses and medicane. When you know that you know youre kids more you should give them a chance, believe what they are telling you but maybe not put so much worrying into it until it becomes more of a concern than just hearing voices. It could be caused by stress, or just simply them wanting youre attention even if its bad attention. My point being youre childern need you to love and support them, not treat them as tho they have issues that need meds. Also there are medicines that can cause hallutionations so if they are on any, maybe look at all the side effects wvem if they are rare ones.

I live in France. About 5-10 times, once every 1-2 months, I receive an automated computerized call that listens to me say "hello" there is silence for 5 seconds, and then there is a voice recording of a British woman saying "good-bye".

The past two days around the time I've received a call from "no caller ID". When I say hello a female voice with a very slight robotic voice says "hello (my name)". Is this one of the telemarketing scams? How does it know my name..?

I've not installed iOS 14.5 yet, so I'm confused about the new Siri voices. I'm currently using the female Siri voice in iOS 14.4 and would like to continue using it. Is it still available as one of the new voices? If so, which number is it? (I understand the new voices are not named, just numbered.) If it's been replaced, which of the new voices is closest to the female Siri voice found in iOS 14.4? ff782bc1db

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