Package: trplayer Priority: optional Section: non-free/sound Installed-Size: 136 Maintainer: Matthew Campbell Architecture: i386 Version: 1.2.0-1 Depends: libc6 (>= 2.1.2), libstdc++2.10-glibc2.2, slang1 (>> 1.3.0-0) Filename: pool/trplayer_1.2.0-1_i386.deb Size: 31384 MD5sum: bb3aea2d53a6e50d25d652fe66f2733f SHA1: 94308121a70e9fa0b0aeab80b879f60cf12cf9ed SHA256: 11e3945e329facf03c57981abef7553e29cca9e0cbbe094a318e0ea5a0830ab3 Description: Text-Mode RealMedia Player The Text-Mode RealMedia Player (TRPlayer) is a RealMedia player for Unix which has a command-line interface. It can play RealAudio, RealVideo, MP3, and all other media types supported by RealPlayer 8 under Unix. TRPlayer was designed especially for blind Unix users, who don't yet have access to the graphical user interface. However, it is also useful to others; it is a good tool for background audio playback and for use on low-end hardware, such as Intel 486-based PC's. Package: cicero Priority: optional Section: contrib/sound Installed-Size: 408 Maintainer: Gilles Casse Architecture: all Version: 0.7-3 Depends: python (>= 2.3), mbrola-fr4, sox, python2.4 Filename: pool/cicero_0.7-3_all.deb Size: 99786 MD5sum: 57844224670772b89ec5d82483819ead SHA1: 99b77b0e10ab6cff52a2a3b5c991a64c887ca0ae SHA256: e71bb156f070cb319d566d26efcad9f1f40856a900f53476fed9df82a83bb217 Description: French and English Text-To-Speech for MBROLA This Text-To-Speech (TTS) engine speaks French; a preliminary English support is also offered. The engine uses context-sensitive rules to produce phonemes from the text. It relies on MBROLA to generate actual audio output from the phonemes. The TTS engine is implemented using the Python programming language. . The upstream authors have come up with this TTS to try and meet their own needs as blind users. It's designed to be plugged as output to some screen-review software, firstly with BRLTTY. They favor speed and intelligibility over perfect pronunciation. Cicero is aimed to have a quick response time, the ability to quickly shut-up and skip to another utterance, intelligibility where it counts (not perfect pronunciation), the ability to track speech progression, relative simplicity (hackability) and relative small code size. Package: cicero Priority: optional Section: contrib/sound Installed-Size: 408 Maintainer: Gilles Casse Architecture: all Version: 0.7-4 Depends: python (>= 2.3), mbrola-fr4, sox, python2.4 Filename: pool/cicero_0.7-4_all.deb Size: 99836 MD5sum: f01db70294da03d59f66f884f8b0d4f9 SHA1: 94b0b371d49c7000083e8d1f642d65aeb523909e SHA256: 954c8ff8d615a30048a306a19d227677873b036bce21fd3cfb8b25ec84862808 Description: French and English Text-To-Speech for MBROLA This Text-To-Speech (TTS) engine speaks French; a preliminary English support is also offered. The engine uses context-sensitive rules to produce phonemes from the text. It relies on MBROLA to generate actual audio output from the phonemes. The TTS engine is implemented using the Python programming language. . The upstream authors have come up with this TTS to try and meet their own needs as blind users. It's designed to be plugged as output to some screen-review software, firstly with BRLTTY. They favor speed and intelligibility over perfect pronunciation. Cicero is aimed to have a quick response time, the ability to quickly shut-up and skip to another utterance, intelligibility where it counts (not perfect pronunciation), the ability to track speech progression, relative simplicity (hackability) and relative small code size. Package: cicero Priority: optional Section: contrib/sound Installed-Size: 424 Maintainer: Gilles Casse Architecture: all Version: 0.7-5 Depends: python (>= 2.3), mbrola-fr4, sox, python2.4 Filename: pool/cicero_0.7-5_all.deb Size: 101136 MD5sum: b663597e626f20feaf931722c832e466 SHA1: 2cce7ea35a0dd66a6fdad969837c11413f1c5bad SHA256: 6676847c16260239cc9c908d2b0f0a11eaeb7db060e6472ba6121877655c62b5 Description: French and English Text-To-Speech for MBROLA This Text-To-Speech (TTS) engine speaks French; a preliminary English support is also offered. The engine uses context-sensitive rules to produce phonemes from the text. It relies on MBROLA to generate actual audio output from the phonemes. The TTS engine is implemented using the Python programming language. . The upstream authors have come up with this TTS to try and meet their own needs as blind users. It's designed to be plugged as output to some screen-review software, firstly with BRLTTY. They favor speed and intelligibility over perfect pronunciation. Cicero is aimed to have a quick response time, the ability to quickly shut-up and skip to another utterance, intelligibility where it counts (not perfect pronunciation), the ability to track speech progression, relative simplicity (hackability) and relative small code size.