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idx
int64
0
99
audio_file
stringclasses
15 values
speaker_id
stringlengths
12
12
age
int64
22
58
gender
stringclasses
2 values
emotional_state
stringlengths
3
12
language
stringclasses
10 values
text_content
stringlengths
19
125
cloning_target
stringclasses
2 values
quality_score
float64
7.2
9.6
0
voice_sample_001.wav
SPEAKER_1245
32
Male
Happy
English
Good morning everyone, welcome to our presentation on voice cloning technology.
Primary
9.2
1
voice_sample_002.wav
SPEAKER_1245
32
Male
Neutral
English
The advancement in speech synthesis has revolutionized how we interact with AI systems.
Primary
8.7
2
voice_sample_003.wav
SPEAKER_6789
28
Female
Excited
English
This breakthrough allows us to create realistic synthetic voices that are nearly indistinguishable from human speech.
Secondary
9.5
3
voice_sample_004.wav
SPEAKER_6789
28
Female
Neutral
English
Our methodology combines deep learning techniques with acoustic modeling for superior results.
Primary
8.9
4
voice_sample_005.wav
SPEAKER_3456
45
Male
Sad
English
Despite the technical challenges, voice cloning represents a significant leap forward in human-computer interaction.
Secondary
8.3
5
voice_sample_006.wav
SPEAKER_3456
45
Male
Happy
English
I'm excited to share our latest findings in voice cloning research with the scientific community.
Primary
9.1
6
voice_sample_006.wav
SPEAKER_3456
45
Male
Neutral
English
Real-time voice conversion requires sophisticated neural networks and extensive training data.
Primary
9.1
7
voice_sample_006.wav
SPEAKER_3456
45
Male
Neutral
English
Machine learning algorithms have transformed the landscape of voice generation capabilities.
Primary
8.8
8
voice_sample_006.wav
SPEAKER_2341
38
Female
Neutral
English
Recent studies have shown remarkable progress in creating natural-sounding synthetic voices.
Primary
8.8
9
voice_sample_006.wav
SPEAKER_2341
58
Female
Confident
Spanish
La tecnología de clonación de voz está transformando la forma en que comunicamos con las máquinas.
Primary
9.1
10
voice_sample_006.wav
SPEAKER_3456
45
Male
Sad
English
Despite the technical challenges, voice cloning represents a significant leap forward in human-computer interaction.
Secondary
8.3
11
voice_sample_006.wav
SPEAKER_2341
58
Male
Confident
Spanish
La tecnología de clonación de voz está transformando la forma en que comunicamos con las máquinas.
Primary
9.1
12
voice_sample_006.wav
SPEAKER_2341
58
Male
Angry
Spanish
¡Este sistema de clonación de voz es completamente inaceptable para mi!
Secondary
7.8
13
voice_sample_006.wav
SPEAKER_2341
58
Male
Confident
English
The phonetic diversity in our corpus ensures robust generalization across different dialects.
Primary
9.1
15
voice_sample_007.wav
SPEAKER_1245
32
Male
Angry
English
The ethical implications of voice cloning technology must be carefully considered before widespread implementation.
Secondary
8.5
16
voice_sample_007.wav
SPEAKER_1245
32
Male
Excited
English
The future of voice cloning lies in creating personalized AI assistants that sound like specific individuals.
Secondary
8.8
17
voice_sample_007.wav
SPEAKER_1245
32
Male
Happy
English
We're excited to share our latest findings in voice cloning accuracy and naturalness.
Secondary
9.1
18
voice_sample_007.wav
SPEAKER_2341
38
Female
Happy
English
The integration of neural networks has dramatically improved voice cloning accuracy and realism.
Secondary
9.1
19
voice_sample_007.wav
SPEAKER_8901
22
Male
Whispering
English
*whisper* I think we need to be more careful about privacy implications...
Secondary
7.8
20
voice_sample_007.wav
SPEAKER_9123
38
Female
Angry
English
I cannot believe how quickly this technology has evolved over the past few years.
Primary
7.8
21
voice_sample_007.wav
SPEAKER_8902
24
Female
Nervous
French
Je suis très excited de partager notre recherche sur l'imitation vocale avancée.
Secondary
8.4
22
voice_sample_007.wav
SPEAKER_8901
24
Female
Calm
Japanese
音声の再現技術は、現代社会において非常に重要な役割を果たしています。
Primary
9.1
23
voice_sample_007.wav
SPEAKER_8902
39
Female
Nervous
English
I must admit, the ethical implications of voice cloning require careful consideration.
Secondary
8.6
25
voice_sample_008.wav
SPEAKER_6789
28
Female
Neutral
English
Our experiments demonstrate that voice cloning accuracy reaches 94% when trained on sufficient data samples.
Primary
9.3
26
voice_sample_008.wav
SPEAKER_9012
38
Female
Angry
English
Current limitations include maintaining consistent pitch and tone across different speaking contexts.
Primary
7.9
27
voice_sample_008.wav
SPEAKER_9012
38
Female
Confident
English
The integration of neural networks with traditional signal processing has produced remarkable results.
Primary
9
28
voice_sample_008.wav
SPEAKER_5672
52
Male
Neutral
English
Voice cloning technology now enables personalized virtual assistants that sound like specific individuals.
Primary
8.6
29
voice_sample_008.wav
SPEAKER_4567
35
Female
Angry
German
Diese Entwicklung ist eine Bedrohung für die menschliche Kommunikation!
Primary
8.5
30
voice_sample_008.wav
SPEAKER_9123
38
Female
Angry
English
The ethical implications of voice cloning need careful consideration before widespread adoption.
Secondary
8.1
31
voice_sample_008.wav
SPEAKER_5673
39
Female
Calm
Japanese
音声の再現技術は、今後ますます進化していくでしょう。
Primary
9
32
voice_sample_008.wav
SPEAKER_4567
39
Male
Fearful
German
Ich habe Angst, dass diese Technologie missbraucht werden könnte.
Secondary
8.2
33
voice_sample_008.wav
SPEAKER_4567
26
Male
Angry
Spanish
Esta tecnología está cambiando fundamentalmente la forma en que comunicamos con las máquinas.
Primary
9
35
voice_sample_009.wav
SPEAKER_9012
38
Female
Surprised
English
Unexpected results emerged from our cross-lingual voice cloning experiments.
Secondary
8.8
36
voice_sample_009.wav
SPEAKER_9012
38
Female
Neutral
English
Advanced voice cloning systems now support multiple languages and dialects seamlessly.
Secondary
9.3
37
voice_sample_009.wav
SPEAKER_6789
28
Female
Neutral
English
Researchers continue to push boundaries in creating authentic synthetic speech patterns.
Secondary
8.6
38
voice_sample_009.wav
SPEAKER_5672
52
Male
Confident
English
Researchers have developed sophisticated algorithms that preserve unique vocal characteristics during cloning.
Secondary
9
39
voice_sample_009.wav
SPEAKER_5678
41
Male
Relaxed
French
L'avenir de la synthèse vocale promet des avancées incroyables dans l'accessibilité.
Secondary
9
40
voice_sample_009.wav
SPEAKER_5678
29
Male
Neutral
English
Researchers at MIT have developed new algorithms that improve voice cloning accuracy by 30%.
Primary
9
41
voice_sample_009.wav
SPEAKER_1122
41
Male
Angry
German
Diese Entwicklung könnte die gesamte Branche der Sprachtechnologie verändern.
Secondary
8.6
42
voice_sample_009.wav
SPEAKER_5678
22
Female
Disgusted
French
Je ne comprends pas pourquoi on devrait permettre cela dans notre société.
Primary
7.9
43
voice_sample_009.wav
SPEAKER_1123
41
Female
Calm
English
The neural network architecture employs attention mechanisms for enhanced prosody preservation.
Secondary
8.8
45
voice_sample_010.wav
SPEAKER_3456
45
Male
Confident
English
The future of voice cloning lies in creating personalized AI assistants that sound exactly like their users.
Primary
9
46
voice_sample_010.wav
SPEAKER_5678
29
Male
Calm
English
Ethical considerations surrounding voice cloning are becoming increasingly important in AI development.
Primary
8.5
47
voice_sample_010.wav
SPEAKER_4321
52
Male
Calm
English
Voice cloning technology enables personalized AI assistants that sound remarkably like their human counterparts.
Primary
8.9
48
voice_sample_010.wav
SPEAKER_8910
29
Female
Neutral
English
The process involves analyzing fundamental frequency patterns and spectral characteristics to recreate authentic voices.
Primary
8.4
49
voice_sample_010.wav
SPEAKER_7890
29
Female
Excited
Japanese
この技術は、音声の再現性を飛躍的に向上させます!
Primary
8.8
50
voice_sample_010.wav
SPEAKER_5678
29
Male
Neutral
English
These improvements make it possible to create personalized voice assistants with minimal training data.
Secondary
8.6
51
voice_sample_010.wav
SPEAKER_7894
29
Female
Whispering
Italian
Potresti sentire un leggero cambiamento nella voce quando parliamo.
Primary
8.8
52
voice_sample_010.wav
SPEAKER_7890
41
Male
Confused
Italian
Non sono sicuro di capire davvero cosa stiamo creando qui.
Secondary
8
53
voice_sample_010.wav
SPEAKER_5678
33
Male
Whispering
English
The subtle nuances in vocal tract configuration are crucial for authentic voice reproduction.
Primary
9.3
55
voice_sample_011.wav
SPEAKER_1245
32
Male
Disgusted
English
We must establish strict guidelines to prevent misuse of voice cloning technology in fraudulent activities.
Secondary
8.4
56
voice_sample_011.wav
SPEAKER_5678
29
Male
Happy
English
Researchers have successfully cloned voices with remarkable accuracy in just a few minutes of sample data.
Secondary
9
57
voice_sample_011.wav
SPEAKER_5678
29
Female
Excited
English
Recent improvements in waveform generation have made voice cloning more accessible to developers worldwide.
Secondary
9.3
58
voice_sample_011.wav
SPEAKER_8910
29
Female
Surprised
English
What makes this technology particularly impressive is its ability to maintain consistency across different speaking contexts.
Secondary
8.9
59
voice_sample_011.wav
SPEAKER_1122
33
Male
Nervous
English
I'm not sure if this is the right approach, but let's test it anyway.
Secondary
7.2
60
voice_sample_011.wav
SPEAKER_2345
41
Female
Happy
English
The potential applications of voice cloning in entertainment and education are truly exciting.
Primary
9.3
61
voice_sample_011.wav
SPEAKER_3344
35
Male
Laughing
Portuguese
Risos e emoções verdadeiras são essenciais para uma voz realista.
Secondary
9.3
62
voice_sample_011.wav
SPEAKER_1357
36
Female
Excited
Portuguese
Estamos prestes a revolucionar a maneira como nos comunicamos com máquinas!
Primary
9.3
63
voice_sample_011.wav
SPEAKER_9012
29
Female
Excited
German
Diese Entwicklungen werden die Kommunikation zwischen Menschen und Maschinen völlig verändern.
Secondary
8.5
65
voice_sample_012.wav
SPEAKER_6789
28
Female
Neutral
English
Technical validation shows our model maintains consistent performance across different demographic groups.
Primary
8.9
66
voice_sample_012.wav
SPEAKER_2345
41
Female
Sad
English
The technology behind voice cloning continues to evolve rapidly with new breakthroughs every month.
Primary
8.2
67
voice_sample_012.wav
SPEAKER_1245
32
Male
Neutral
English
The ethical implications of voice cloning require careful consideration as this technology becomes more prevalent.
Primary
8.5
68
voice_sample_012.wav
SPEAKER_4321
41
Male
Neutral
English
Ethical considerations around voice cloning include privacy concerns and potential misuse in fraudulent activities.
Primary
8.5
69
voice_sample_012.wav
SPEAKER_3344
26
Female
Playful
Italian
Che bello poter imitare perfettamente la voce di qualcuno!
Primary
9.3
70
voice_sample_012.wav
SPEAKER_2345
41
Female
Happy
English
Imagine being able to hear your favorite author's voice reading their books aloud.
Secondary
8.8
71
voice_sample_012.wav
SPEAKER_6677
26
Female
Surprised
Russian
Это невероятно, как быстро мы можем воссоздать человеческий голос.
Primary
8.5
72
voice_sample_012.wav
SPEAKER_2468
29
Male
Bored
Chinese
这个语音克隆技术看起来很有趣,但我觉得有点无聊。
Secondary
7.5
73
voice_sample_012.wav
SPEAKER_3456
45
Male
Sad
English
The computational complexity of real-time voice cloning remains a significant challenge.
Primary
8.4
75
voice_sample_013.wav
SPEAKER_9012
38
Female
Excited
English
The potential applications of voice cloning in entertainment and accessibility are truly remarkable.
Secondary
9.4
76
voice_sample_013.wav
SPEAKER_2345
41
Female
Neutral
English
Training datasets require careful curation to ensure diverse representation across age groups and accents.
Secondary
8.6
77
voice_sample_013.wav
SPEAKER_9012
38
Female
Happy
English
Our dataset includes voices from over 50 different speakers across multiple age groups and accents.
Secondary
9.2
78
voice_sample_013.wav
SPEAKER_4321
41
Male
Concerned
English
As voice cloning becomes more accessible, regulatory frameworks must evolve to address these emerging challenges.
Secondary
8.7
79
voice_sample_013.wav
SPEAKER_5566
47
Male
Professional
Portuguese
A aplicação prática da clonagem de voz em atendimento ao cliente é impressionante.
Secondary
8.6
80
voice_sample_013.wav
SPEAKER_7890
35
Male
Neutral
English
Current voice cloning systems require approximately 10-15 minutes of sample audio for optimal results.
Primary
8.5
81
voice_sample_013.wav
SPEAKER_9900
52
Male
Drunk
Arabic
الصوت المُكرر يجب أن يحمل نفس الطابع الإنساني.
Secondary
8.2
82
voice_sample_013.wav
SPEAKER_1122
33
Female
Surprised
Arabic
هل يمكنني أن أقول أن هذا هو المستقبل؟ لا يمكنني поверить في ذلك!
Primary
8.8
83
voice_sample_013.wav
SPEAKER_7890
37
Female
Playful
English
Imagine if your favorite author could read their books aloud in their own voice!
Secondary
9.6
85
voice_sample_014.wav
SPEAKER_3456
45
Male
Neutral
English
Research continues to improve the naturalness and emotional expressiveness of cloned voices.
Primary
8.6
86
voice_sample_014.wav
SPEAKER_7890
35
Male
Excited
English
Voice cloning has opened up new possibilities for accessibility applications and entertainment.
Primary
9.4
87
voice_sample_014.wav
SPEAKER_3456
45
Male
Sad
English
While the technology advances rapidly, we must ensure responsible deployment and usage guidelines.
Primary
8.7
88
voice_sample_014.wav
SPEAKER_7654
35
Female
Neutral
English
The training data requirements for high-quality voice cloning typically involve hundreds of hours of diverse speech samples.
Primary
9.3
89
voice_sample_014.wav
SPEAKER_7788
38
Female
Calm
English
The ethical considerations of voice cloning require careful examination before widespread implementation.
Primary
9.4
90
voice_sample_014.wav
SPEAKER_7890
35
Male
Neutral
English
The processing time has been reduced significantly compared to previous generations of cloning software.
Secondary
8.2
91
voice_sample_014.wav
SPEAKER_1234
31
Female
Whispering
Chinese
轻声细语的模仿需要更加精细的技术处理。
Primary
9.4
92
voice_sample_014.wav
SPEAKER_3344
47
Male
Anxious
Russian
Мне кажется, что это слишком быстро идёт развитие технологий.
Secondary
8.1
93
voice_sample_014.wav
SPEAKER_2345
52
Male
Professional
English
Our research demonstrates that voice cloning accuracy improves significantly with larger training datasets.
Primary
9.2
95
voice_sample_015.wav
SPEAKER_1245
32
Male
Sad
English
While the technology advances rapidly, we must not overlook the privacy concerns associated with voice data collection.
Secondary
8.2
96
voice_sample_015.wav
SPEAKER_7890
35
Male
Neutral
English
The integration of voice cloning with existing communication platforms is transforming user experiences.
Secondary
8.8
97
voice_sample_015.wav
SPEAKER_6789
28
Female
Confident
English
The future of voice cloning lies in creating seamless interactions between humans and artificial intelligence systems.
Secondary
9
98
voice_sample_015.wav
SPEAKER_7654
35
Female
Neutral
English
Modern voice cloning systems can reproduce voices with remarkable fidelity, even from short reference clips.
Secondary
8.8
99
voice_sample_015.wav
SPEAKER_9900
24
Male
Disgusted
English
I cannot believe someone would use this technology for fraudulent purposes.
Secondary
7.5

VoiceForgeDataset

tags: voice cloning, deepfake detection, audio forensics, binary classification

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description: The VoiceForgeDataset contains audio samples specifically curated for voice cloning research and evaluation. This dataset includes both original and cloned voice recordings with corresponding metadata, enabling researchers to develop and test voice cloning systems. The dataset focuses on capturing the nuances of voice characteristics including pitch, tone, and speech patterns to support advanced voice synthesis and authentication applications.

CSV Content Preview:

audio_id,speaker_id,original_audio_path,cloned_audio_path,voice_quality_score,cloning_method,dataset_split,labels
VF001,S001,./audio/original/S001_001.wav,./audio/cloned/S001_001_clone.wav,8.7,NeuralVocoder,test,"['natural_speech', 'high_quality']"
VF002,S002,./audio/original/S002_002.wav,./audio/cloned/S002_002_clone.wav,9.2,TransformerTTS,train,"['emotional_variability', 'accurate_pitch']"
VF003,S003,./audio/original/S003_003.wav,./audio/cloned/S003_003_clone.wav,7.8,HiFiGAN,validation,"['speech_rate_variation', 'clear_articulation']"
VF004,S004,./audio/original/S004_004.wav,./audio/cloned/S004_004_clone.wav,9.5,DiffWave,test,"['phonetic_accuracy', 'natural_rhythm']"
VF005,S005,./audio/original/S005_005.wav,./audio/cloned/S005_005_clone.wav,8.1,StyleTransfer,train,"['pitch_stability', 'intelligibility']"

Source of the data:

The dataset was generated using the Infinite Dataset Hub and Qwen/Qwen3-Coder-30B-A3B-Instruct using the query 'Voice cloning':

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