- Look at most relevant Neospeech Premium Voices Free apps. Neospeech Premium Voices Free found at Voice Dream Reader, AudiBook - EPUB etc. Check the best results!
- Free Download report malware. Is that you can convert your slides into audio files using the dedicated text to speech function and you can rely on NeoSpeech to get the voices that best suit.
Listen to voice demos of the NeoSpeech voices below: Voice. NeoSpeech VoiceText ™ Julie 16k (U.S. English) Click for demo. NeoSpeech VoiceText ™ Paul 16k (U.S. English) Click for demo. NeoSpeech VoiceText ™ Kate 16k (U.S. English) Click for demo.
Introduction
Voice Enhancement - Important for Learning
This page introduces Tuval's TTS voice enhancement feature which divides sentences into thought-groups - called chunking or clumping a sentence - making it easier to understand even when read at high speed.
It is important for learning and instruction to have the TTS voice read sufficiently fast to keep the listener's interest thereby avoiding frustration with a 'boring and monotonous' voice. The voice enhancement feature allows the voice to be read fast (up to 180 wpm) and still be well-understood. Without this feature, the TTS voices when played fast require a lot of effort and concentration to be understood and would have to be played at lower 'boring' speeds.
The speed of the enhanced voice is adjustable for individual user preference. See below for examples of different possible speeds.
This page illustrates Tuval's TTS voice enhancement feature by comparing enhanced TTS voices with an expert real voice.
Model of Real Voice
The first section has a recording of the real voice of Rachel, a teacher of English pronunciation on the Internet. We use Rachel's voice as a model of perfect English speech in terms of timing, inflection and pauses that is, chunking, while speaking at a high speed (180 wpm). Example Multi-syllable words
Comparing TTS Voices
In the following sections we present sample recordings of TTS voices on the same source text. There are two types of TTS voice recordings: 'not enhanced' is a recording of the text without any enhancement added and 'enhanced' is a recording of the same text with enhancement added.
The purpose is to show how the TTS voices with enhancement can be well-understood even when played at the same high speech rate (180 wpm) as Rachel and how the same TTS voices without the enhancement are difficult to understand at that speed.
Note that the MS voices Zira, David and Hazel are significantly improved when enhanced.
voice samples
Source: Multi-syllable words
Real voice Rachel - (180 wpm)
http://www.speechover.com/wordpress/wp-content/uploads/Real-voice-Rachel-multi-syllable-180wpm.mp3Neospeech Paul
Text to Speech Voices
Acapela-Group Voices
- Aca-Sharon-multi-syllable-180wpm-enhanced
- Aca-Sharon-multi-syllable-180wpm -not enhanced
- Aca-Rod-multi-syllable-180wpm-enhanced
- Aca-Rod-multi-syllable-180 wpm not enhanced
Microsoft Voices
- MS-Zira-multi-syllable-180wpm enhanced
- MS-Zira-multi-syllable 180wpm not enhanced
- MS-David-multi-syllable-180wpm enhanced
- MS-Hazel-multi-syllable-180wpm enhanced
NeoSpeech voices
- Neo-Paul-multi-syllable-180wpm-enhanced
- Neo-Paul-multi-syllable-180wpm not enhanced
Controlling the voice speed
The section shows how the TTS voice speed can be controlled with great accuracy, including the pauses referred to above.
The factors which can be controlled are:
- The basic voice rate without any added pauses: speed 0 = 162 wpm; speed 1 = 176 wpm; speed 2 = 193 wpm (added pauses will reduce the effective voice rate)
- The length of the pause/comma (in ms): 100 (0.1 sec), 200 (0.2 sec), 500 (0.5 sec), 1000 (1 sec)
- The length of a period (secs): 1, 1.5, 2
- Length of end of paragraph (secs): 2, 3
Each example is marked with the speeds, for example: aca-sharon-0-1000-2-3 [voice rate = 0, pause=1000, period=2, paragraph = 3
The samples are arranged from the fastest to the slowest. For reference, the recording of the actual real voice Rachel is included at the end of the list. Note that it is very close to the first example of Sharon in the list.
Voice speed scale: Fast, medium, slow
We need to give the user a simple choice of voice speed scale: fast, medium slow.
Fast, medium and slow for the user will be a combination of the factors: speed, pause length, period length and paragraph length. That is, a slower speed goes along with longer pauses, periods and paragraphs.
According to my ear, the best choice seems to be the combination of factors in the following samples in the list above:
- Fast = #1
- Medium = #3
- Slow = #5
- Andy-slow = #6
source text
Source - http://rachelsenglish.com/practice-multi-syllable-words/
Multi-syllable words| can be really tricky. There are so many sounds| and transitions in them. So today we’re going to talk |about ‼how‼ to work∣ on multi-syllable words.¶
I encourage you| to keep a running list of long words that have come up in conversation for you| that are hard for you to say. Maybe they are words that relate to your field of study | or work.¶
Let’s use | as an example | the word ‘underestimate’. First, look it up∣ in the dictionary| and get the I P A.. But what I really want to talk about today| is, make sure you know ∣ which syllables are stressed.¶
This is a five syllable word | with stress| on the middle syllable. There is secondary stress | in this word| marked ∣ by the little line |at the bottom. I’m going to say, don’t worry about that. They’re more like un-stressed syllables | than stressed syllables.¶
Let’s start |by practicing |the stressed syllable. Do you know the shape| of a stressed syllable? I made a video| a long time ago | about how the voice should curve up |and then down |in a stressed syllable. The sounds| are the most important | in this stressed syllable — they should be the clearest |in your word. Practice | just the stressed syllable | using a hand movement. The shape | really is important| in making the word sound natural.¶
Now let’s look ∣ at the rest | of the syllables. We have two before| and two after. Practice | these syllables | together. There’s no need | to practice them separately| like the stressed syllable.¶
At the beginning of the video, I talked about how long words can be hard | because there are so many sounds. But I want you to see| that ∣ in unstressed syllables∣ the sounds don’t have to be fully formed | and fully pronounced. These sounds| are quieter, flatter in pitch, faster, simpler. This | should make long words easier, but that doesn’t mean you don’t have to practice them. You do, you need to repeat a new word |over| and over, but the point is to break it up| into simplified |and stressed ∣syllables.¶
Put together a list| of long words | and work through them |this way. I really think | that breaking up a word | into stressed | and unstressed syllables |is the best way to master it — along with repetition. The more you get used | to the contrast | of stressed |and unstressed syllables, the better. Stress | really matters | in American English.
This must be my lucky day, I stumbled on this gem while looking for another software. This collection was put together by someone on Demonoid and it’s around 16.93 GB and has pretty much one of the most requested voices. From AT&T to Nuance, this pack has it all. To use this pack you need to have Text-Speech functions on your system, Windows 7 supports it by default. I used the AT&T Voice in Windows Xp and it was great and sort of matched the tone of a real human being but I didn’t bother finding other sets. Luckily now I don’t need too, since this amazing torrent contain some amazing voices that you can’t find easily. It’s a rare gem in the torrenting world.
Have fun downloading it.
Acapela
US English
- Aaron
- Ryan
- Heather
- Laura
- Kenny
- Nelly
UK English
- Graham
- Lucy
- Peter
- Rachel
Arabic
- Youssef
- Salma
AT&T
US English
- Claire
- Crystal
- Julia
- Lauren
- Mel
- Mike
- Ray
- Rich
US English (Indian Accent)
- Anjali
UK English
- Audrey
- Charles
Cepstral
US English
- Amy
- Callie
- David
- Emily
- Linda
- Walter
- William
UK English
- Lawrence
- Millie
Canadian French
- Isabelle
- Jean Pierre
German
- Katrin
- Matthias
Italian
- Vittoria
American Spanish
- Marta
- Miguel
Special Character
- Damian
- Duchess
- Robin
Loquendo
US English
- Allison
- Dave
- Steven
- Susan
UK English
- Elizabeth
- Kate
- Simon
American Spanish
- Carlos
- Carmen
- Jorge
- Soledad
NaturalSoft
US English
- Heather
UK English
- Peter
- Rachel
NeoSpeech
US English
- Julie
- Kate
- Paul
UK English
- Bridget
Chinese Mandarin
- Hui
- Liang
- Wang
Japanese
- Miyu
- Show
Korean
- Jun Woo
RealSpeak (Nuance)
US English
- Jennifer
- Jill
- Tom
UK English
- Daniel
- Emily
American Spanish
- Javier
- Paulina
Australian English
- Lee
- Karen
Brazilian
- Raquel
Castilian Spanish
- Isabel
Free Neospeech Voices
Belgian Dutch
- Ellen
Netherlands Dutch
- Claire
- Laura
Canadian French
- Felix
- Julie
French
- Sebastien
- Virginie
German
- Steffie
- Yannick
Italian
- Silvia
Free Neospeech Voices Free
Polish
- Agata
Russian
- Katerina
Neospeech Bridget
Portuguese
- Madalena
Neospeech
Japanese
- Kyoko
Cantonese
- Sin-Ji
Korean
- Narae
Mandarin Chinese
- Mei-Ling